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Description Join our winning team, recently honored on Forbes’ list of America’s Best Startup Employers for 2025! The Helper Bees (THB) was created to fill an obvious need in an underserved community. Inspired by love and brought to reality through passion and determination, The Helper Bees was founded to empower older adult citizens and their families in their search for quality, affordable in-home care providers. We do this by providing older adults the ability to easily review, choose, and access affordable quality in-home helpers. The Helper Bees mission is to help people stay home longer through data-driven services that transform both the payer and the care-recipient experience. At THB, we define our company culture through our Core Values: • Quickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution, • Seek ways to create immediate impact - Be thoughtful and proactive in how you make an impact on your team. Actively look for ways to make a fast, positive impact., • Bee the teammate you want to work with - We work as a team, help each other and encourage each other, • Ask questions, answer questions - You can't iterate through solutions if you don't ask the right questions which is why there is an expectation that questions should be asked. When you know the answer, being a good teammate means chiming in to get others up to speed., • Take the time to celebrate wins - It's so easy for a team that is heads down to forget about all the great things they've accomplished. That's why we make it a priority to remind ourselves to create space to celebrate wins, big or small. Job Summary: The Revenue Accounting Analyst supports accurate, timely, and insightful revenue reporting across THB’s healthcare and technology-enabled services. This role sits at the intersection of accounting, analytics, and operations: you will help ensure revenue is recorded correctly, explain what is driving performance, improve the quality of the underlying data, and make recurring processes more scalable. This is a strong opportunity for an analyst who enjoys both the details and the bigger picture. You will work with the Revenue Manager, Controller, FP&A, Operations, Sales, Legal, and other business partners to support the monthly close, revenue forecasting, audit readiness, contract and billing analysis, and finance process improvements. The person who succeeds in this role will not wait for a perfect dataset or a perfectly defined problem. They will ask good questions, establish a practical approach, document assumptions, communicate early, and follow work through to completion. Requirements Supervisory Responsibilities: ? None Duties/Responsibilities: Revenue accounting and close ? Prepare, analyze, and reconcile revenue-related schedules, invoices, deferred revenue, accounts receivable activity, and general ledger balances. ? Support monthly, quarterly, and year-end close activities, including researching variances and preparing clear supporting documentation. ? Review customer agreements, billing terms, and transaction data to identify issues that may affect revenue treatment, billing, or reporting; escalate technical accounting questions appropriately. ? Support the application of GAAP and ASC 606 principles under established company policies and procedures. ? Perform invoice-to-contract, invoice-to-ledger, and subledger-to-general-ledger tie-outs; investigate and resolve discrepancies. ? Create and maintain organized, audit-ready workpapers and documentation for recurring close and revenue processes. Revenue analysis and reporting ? Produce recurring revenue reporting and dashboards that help Finance and business leaders understand performance, trends, risks, and opportunities. ? Analyze actual results against budget, forecast, prior periods, and operational drivers; explain material variances in a concise, decision-useful format. ? Monitor revenue-related KPIs such as billings, collections, deferred revenue, contract activity, renewal activity, revenue leakage indicators, and days-to-close, as applicable to the business. ? Partner with FP&A and operational stakeholders to provide accurate revenue inputs for forecasts, budgets, business reviews, and management reporting. ? Translate complex data into clear insights and recommendations for both finance and non-finance audiences. ? Perform ad hoc analysis to answer business questions, validate assumptions, and support strategic initiatives. Data quality, controls, and process improvement ? Identify recurring data, billing, or workflow issues; quantify their impact and recommend practical corrective actions. ? Help maintain internal controls, standard operating procedures, data definitions, and process documentation for revenue activities. ? Improve recurring processes through better templates, reconciliations, automation, reporting logic, and quality checks. ? Participate in testing and implementation of ERP, billing, reporting, or workflow enhancements. ? Use approved AI-enabled tools and automation thoughtfully to improve efficiency while protecting confidential financial and customer information. Cross-functional project management ? Own or co-own finance projects from scope through completion, including defining deliverables, tracking milestones, managing dependencies, documenting decisions, and communicating status. ? Coordinate with Sales, Operations, Legal, FP&A, Accounting, and external partners to resolve revenue-related questions and keep deliverables moving. ? Build productive working relationships by setting clear expectations, following up consistently, and escalating risks early. ? Support external and internal audit requests by gathering evidence, explaining processes, and following items through resolution. Performance Metrics: ? Reporting ownership: Own a recurring revenue reporting or reconciliation package with reliable, well-documented outputs. ? Close performance: Contribute effectively to the monthly close and consistently meet agreed deadlines. ? Business communication: Explain major revenue variances and data-quality issues in business terms, not only accounting terms. ? Process improvement: Reduce manual effort or improve control quality through at least one meaningful process-improvement project. ? Cross-functional trust: Build trust with Finance and cross-functional partners through accurate work, clear communication, and dependable follow-through. ? Subject-matter ownership: Become a go-to resource for the revenue data, schedules, and processes within your scope. Required Skills/Abilities: ? GAAP knowledge: Working knowledge of GAAP accounting concepts, including accruals, reconciliations, journal entries, and financial reporting. ? Technical skills: Strong Excel or Google Sheets skills, including pivot tables, lookups, conditional logic, data cleanup, and financial analysis. ? Analytical rigor: Demonstrated ability to reconcile data, investigate variances, identify root causes, and communicate conclusions clearly. ? Organization & follow-through: Strong organization and follow-through, with the ability to manage multiple deadlines and priorities. ? Communication: Clear written and verbal communication skills and comfort working with both finance and non-finance stakeholders. ? Accuracy & control discipline: High standards for accuracy, confidentiality, documentation, and internal control discipline. Education and Experience: ? Bachelor’s degree in Accounting, Finance, Business, Analytics, or a related field; equivalent relevant experience may be considered. ? Two or more years of experience in accounting, revenue accounting, financial analysis, audit, or a related finance role. ? Must be 18 years of age or older. Preferred Qualifications: ? Experience applying or supporting ASC 606 revenue recognition. ? Experience with NetSuite, Oracle, QuickBooks, or another ERP/accounting system. ? Experience with revenue reporting, billing operations, accounts receivable, deferred revenue, contract analysis, or close management. ? Experience with Power BI, Tableau, or another reporting/analytics tool. ? Experience managing a cross-functional project, system enhancement, automation effort, or process redesign. ? Experience in healthcare, insurance, insurtech, SaaS, technology-enabled services, or another business with complex contracts and multiple revenue streams. ? CPA, CPA-track status, or progress toward another relevant certification. ? Familiarity with approved AI or automation tools used to improve finance workflows. The Profile We Are Looking For: You may be a strong fit if you are: ? An accounting-minded analyst: You understand the “why” behind reconciliations and can spot when a result does not make sense. ? A practical problem solver: You can move from ambiguity to a clear plan without losing attention to detail. ? A data translator: You can turn a spreadsheet, variance, or control issue into a concise recommendation. ? A dependable project owner: You manage commitments, communicate risks early, and close the loop. ? A curious teammate: You ask thoughtful questions, share what you learn, and make the people around you more effective. Physical Requirements: ? Ability to work at a computer and use standard office productivity tools for the duration of the workday. ? Ability to communicate information accurately through written, verbal, and virtual channels. ? Ability to observe details on a computer screen and work with financial data for extended periods. ? This is a remote position within approved U.S. locations. Candidates must have a reliable internet connection and a designated work environment suitable for professional calls and confidential information; confirm any role-specific requirements with HR. ? Reasonable accommodations are available for qualified individuals with disabilities. The Helper Bees is committed to building a workplace where diversity, equity, and inclusion are valued and prioritized. We are an equal opportunity employer that welcomes all qualified applicants without discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any non-merit based or legally protected grounds. The Helper Bees provides reasonable accommodations to qualified individuals with disabilities during the job application and interview process. To request accommodation, please let your recruiter know. As part of our standard hiring process, selected candidates may be required to undergo a background check and/or drug screen. The Helper Bees adheres to applicable federal, state, and local laws regarding these screenings, and the results will be considered in accordance with applicable regulations. The Helper Bees was recently made aware of a fraudulent entity posing as our organization and requesting personal information. Please be aware of and protect yourself from scams. Visit_ to view all current job openings. Salary Description $70,000-$80,000

Metrc is the most trusted and experienced provider of cannabis regulatory systems in the United States and is growing extremely rapidly to expand globally.We provide a solution that combines advanced software, radio-frequency identification (RFID) technology, a dedicated customer-support team, and a

The Senior Data Analyst will support strategic business initiatives through detailed data analysis and report development while taking ownership of specific workflows and fostering robust data and reporting practices. In this role, they partner with data engineering to design and maintain BigQuery d

Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as Tableau and snowflake to deliver timely performance insights.

Become an expert on MNTN platforms, UI, databases, data pipelines, and advertising ecosystem to enable thoughtful problem-solving with a well-rounded perspective on data sources, system dependencies, and business outcomes. Data Modeling: Apply a deep understanding of data structures and flow to desi

Healthcare or healthcare payments experience a plus. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc. Our healthcare system is the leading cause of personal bankruptcy in the U.

We are currently seeking a detail-oriented and analytical Data Analyst to join our team. Collaborate with IT teams to ensure seamless integration of data sources and maintain data integrity. Proven experience as a Data Analyst with expertise in using Clickup and other project management platforms.

Lead the audit, cleanup, and architecture of the Operations data subset within our shared BigQuery warehouse: source-of-truth definitions, schema and dataset design, naming conventions, documentation, and query cost management. Join operational data to GTM and financial data to answer the questions

If you're passionate about solving complex business and technical problems, working with large-scale data, streamlining data processes, and transforming intricate data into actionable insights, this is the opportunity for you! You’ll be working alongside a talented development team, using your adv

We’re looking for a Data Analyst to help drive better decisions across the company through thoughtful analysis, clear metric definitions, and strong partnership with cross-functional teams. Data Analyst, Analytics Engineer, or similar role. Perform data analysis to uncover trends, risks, and growt

Our Data Science and Analytics team is a fast-moving, AI-forward group, that utilizes a modern data stack including SQL, dbt, and Snowflake to deliver accurate data across the company. Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices. Direct exp

Ability to operate successfully with strategic and tactical level issues and to effectively manage multiple and diverse issues; good judgment with the ability to make timely and sound decisions based on data and business acumen. Responsible for timely implementation of data requests and provide a

We are hiring an experienced data analyst to partner across our go-to-market teams (Sales, RevOps, Marketing, and Customer Success) and connect the full revenue funnel from acquisition through retention. Join a growing team of analysts and actively contribute to team collaboration and culture. You w

Virta Health is on a mission to transform type 2 diabetes and weight-loss care.Current treatment approaches aren't working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high.Virta is changing this by helping people reverse their metabolic c

Bachelor’s degree in Geography, Geographic Information Systems, Geospatial Science, Data Science, Computer Science, Information Systems, or a related technical field is required.

Bachelor’s degree in Data Science, Statistics, Engineering, Economics, or a related field; a Master’s degree is preferred.

AAAS has an exciting opportunity for a.Research & Data Analytics (RDA) team!.Part-time BI & Data Analyst-II (BIDA-II).RDA team members, IT, and business unit stakeholders to manage, analyze, interpret, and report on data to contribute to AAAS’s strategic planning, business goals and overall miss

The mission of the Senior Data Analyst is to turn ambiguous business questions into analytics solutions that inform decisions — owning the work end to end, from problem framing through delivery and adoption. The Senior Data Analyst connects each analysis to the broader business context rather than

Extensive experience writing optimized SQL to build and analyze datasets and associated data resources - tables, views, stored procedures etc. Deep understanding of data modeling, data quality practices, and cost-efficient storage architecture. In this role, you will be pivotal in surfacing insights

Join ShopMy – Powering the Future of Digital Marketing.ShopMy is transforming e-commerce by building the infrastructure for human-led curation at scale.We help brands run performance-driven creator programs while enabling top creators to monetize their influence and partner directly with the brand

THEEB translates public health science into practice, evaluates the impact of public health programs and disseminates health messages to partners to support the Division of Diabetes Translation (DDT). Compile DPRP encounter-level datasets; Conduct descriptive and longitudinal analyses; Analyze engag

Strong data management instincts — you've built custom reports, run data audits, caught data quality issues before they became business problems, and you understand what governance actually means in practice. PODS — People Operations, Data & Systems — is the infrastructure layer behind everyth

The Data Analyst is a core member of our Analytics team, responsible for answering real business questions using marketing and media data. You’ve worked in platforms like Domo, Databricks, SQL or similar environments to explore and troubleshoot data. Complete high-quality analyses that directly an

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status. Embracing our digital-first

PAX is a leading global cannabis brand on a mission to enhance people’s lives, delivering well-being through pure products, unique experiences, and an unparalleled passion for the plant.For more than a decade, PAX has provided products that are simple, enjoyable, and trusted by millions.PAX has be

Subject-matter-level command of the marketing data stack, tag management, CDPs, server-side tracking, CAPI / Enhanced Conversions / Offline Conversion Import, Consent Mode, with the depth to set strategy, direct specialists, and speak with authority in front of clients. This is based on a 40-hou

As a Senior BI Data Analyst, you’ll be a core member of our Data Analytics team, responsible for turning data into insight and insight into action. Join our team and make a positive impact on the lives of others! We are looking for a Senior BI Data Analyst for our Marketing team. This role will wo

WORLD WIDE PROFESSIONAL SOLUTIONS.WWPS is seeking candidates local to the.Advanced Work Packaging program for a confidential hyperscale construction client.These roles will support the rollout and expansion of AWP processes across multiple large scale campus projects throughout the United States.The

Who We Are Looking For WebPT, the world’s leading provider of practice management software for the physical therapy industry, is seeking a motivated, self-starting Senior Data Analyst to join the Finance team. This position will play a key role in telling WebPT’s growth story through data. With thousands of customers, hundreds of thousands of transactions, and the most comprehensive product set in the marketplace, WebPT’s dataset is as rich as it is complex. This role has significant potential to drive change in WebPT business practices at the highest level by surfacing insights that are only possible through big data analytics techniques. The role is not a good fit for applicants who have spent most of their time building and refreshing Tableau dashboards. It is a good fit for those who spend their time deep in large datasets writing sophisticated SQL queries. The ideal candidate will possess advanced SQL skills but also a working knowledge of and aptitude for financial concepts and metrics. WebPT is the world’s leading practice management platform for physical therapy, occupational therapy, and speech-language pathology healthcare providers. With a full suite of solutions encompassing a purpose-built EMR, billing and claims management, and patient acquisition and engagement, WebPT empowers clinicians to focus on what they do best: delivering life-enhancing care for their patients. WebPT’s modern SaaS-based platform gives providers the data, insights, and tools they need to profitably run and grow their practices while enhancing patient satisfaction and experience. Founded in 2006 by renowned physical therapist Heidi Jennenga, WebPT became a portfolio company of Battery Ventures in 2014 before global private equity firm Warburg Pincus purchased a majority stake in the company in 2019. What You’ll Be Doing As A Part of Our Team Tasks • Develop dbt / SQL pipelines to automate accounting workflows, track financial KPIs, and deliver scalable analytical data products., • Own and maintain WebPT’s financial data products (ARR cube, Bookings cube, Revenue cube) . Serve as the company’s financial data subject matter expert, supporting senior leadership in Finance, Accounting, Sales and Support., • Analyze and generate insights from WebPT’s ARR, billing, and revenue data, • Own the creation and updating of dashboards, visualizations, and ad hoc reports that will expose key trends in the company’s business and highlight areas needing attention, • Write, test, execute, and troubleshoot queries of various data sources as required for data analysis, • Recommend improvements to leadership on data strategy and data architecture at WebPT What You Should Have to Qualify • Experience in writing efficient, production-grade SQL code for complex data pipelines, reporting, and analytics (3-5 years), • Experience with dbt, or a strong ability to learn and adopt it quickly, • Proficiency in using BI tools such as Power BI, Tableau, Looker, etc. (3-5 years), • Experience supporting Finance and Accounting teams, • Experience analyzing and managing large-scale customer, product, transaction datasets, • A clear, concise communicator that works well with others, • Able to explain complex datasets or queries to non-technical people in understandable ways, • Curious and have an investigative mindset - driven to know “why”, • Ability to think critically about the implied results of analyses and cross-check them against “the big picture” of the business to see if they make sense Nice to have • Experience building agents to automate analytics workflows, • Experience with Python & Databricks, • Proficiency with with financial systems, including ERPs (Sage Intacct), CRMs (Salesforce), • Experience in Fintech or healthcare SaaS Culture is at our Core • Service: Create Raving Fans, • Accountability: F Up; Own Up, • Attitude: Possess True Grit, • Personality: Be Minty, • Work Ethic: Be Rock Solid, • Community Outreach: Give Back, • Health and Wellness: Live Better, • Resource Efficiency: Do Más With Menos About Us Here, we work hard—but we have lots of fun doing it. We believe in equal opportunity for all, autonomy, trailblazing, and always doing right by our Members. Most importantly, though, we believe in empowering rehab therapy professionals to achieve greatness in practice. So, if you’re a can-do kinda person who loves to help Members win and enjoys working from just about anywhere—then you’ll fit right in. We’ve got big plans, but we can’t achieve them without you. Join us, and let’s achieve greatness. Company Perks • Ample Time Off for fun and rest, • Work from nearly anywhere in the US, • WFH supply budget, • Time Off to make an impact through volunteering, • Multiple Employee Resource Groups (ERGs), • Health, Dental, Vision, 401k, HSA, any many other benefits, • Authenticity and Acceptance At WebPT, we're dedicated to fair and competitive compensation based upon our industry peer benchmarks. While job postings offer a pay range as a general reference, the final offer depends on candidate qualifications and experience. Our aim is to provide equitable compensation that recognizes your unique skills and contributions. During interviews, we'll discuss your qualifications and expectations, striving for a competitive and fair offer. The initial hiring range for this position is: $120k - $140k. #LI-MS1 #LI-Remote

Partner with Product Management, Engineering, Data Science, and Functional teams to gather, manipulate, analyze, and document raw, complex data and share cohesive data stories that make sense to business and technical audiences. Identify data quality issues and help resolve inconsistencies across so

We are looking for a Data Analyst to join our Data & Analytics team and become the analytics partner to our Customer Success organization. Collaborate with the Data Engineering team to define data model requirements, validate pipeline outputs, and improve the analytical data layer. That means buildi

Minimum of an Associate’s degree in Computer Science, MIS, Computer Engineering, Mathematics, Science or Business Administration.

Alongside board-certified physicians, PhD-level scientists, and experienced health data analysts, you’ll bring rigor to everything from customer-facing claims to original research, clinical protocols, and conference submissions. Write and optimize SQL queries on large clinical datasets in collabor

Bachelor’s degree in healthcare (e.

Experience with Salesforce as a data source — you understand CRM objects, fields, and the quirks of modeling data. Bring a point of view on where AI can replace manual analyst work versus where it can't — you should be as comfortable prompting and evaluating an agent as writing the SQL yourself.

Tremendous is the global platform built for businesses to send thousands of payouts to anyone, anywhere, for free.We're trusted by 20,000 organizations like Atlassian, MIT, and United Way to deliver gift cards and money to millions of recipients worldwide.Our customers (researchers, marketers, HR te

Data Maintenance & Quality: Support ongoing data hygiene efforts for people data, including updates, standardization, and corrections to ensure data consistency across systems. Data Privacy & Security: Maintain confidentiality and security of sensitive people and HRIS data, ensuring compliance with

Coordinate with Data Engineers, Data Scientists, Reporting Analysts, Business Analysts, and other applicable personnel to support data and analytics requirements. This role performs substantive data analysis, validation, profiling, transformation, visualization, and analytical-support activities usi

Rapid, Scripted Analytics & EDA: Perform deep-dive Exploratory Data Analysis (EDA) using Jupyter Notebooks to diagnose business trends, test complex hypotheses, and discover hidden relationships in our data. Familiar with best practices in secure data handling and customer data privacy. Proficiency

About Wing: Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. About the Role: Wing is looking for a Senior Data Analyst to join our Analytics team. This role is based in Palo Alto, CA or remotely in the US. The ideal candidate is solution-oriented, a self-starter, and thrives in ambiguity, using data and analytics to turn complex business questions into clear, decision-focused problems. They analyze complex datasets, design and build robust models, and conduct scenario analyses to evaluate tradeoffs, quantify impact, and guide strategic choices. They communicate insights through actionable recommendations, enabling leadership to make confident, data-informed decisions. What You’ll Do: • Analyze complex datasets to uncover trends, patterns, and insights., • Identify the right data sources to answer ambiguous business questions and ensure analyses are accurate and actionable., • Design and build robust models to evaluate tradeoffs and quantify impact., • Conduct scenario analyses and sensitivity testing to support strategic decisions., • Translate analytical findings into clear, actionable recommendations for stakeholders., • Develop dashboards, automated workflows, and self-serve analytics to operationalize insights where applicable., • Collaborate with business stakeholders to frame ambiguous problems into well-defined analytical questions. What You’ll Need: • 3-6+ years in analytics, data science, business analytics, consulting, or strategic data roles, • Bachelor's/Master’s degree in a quantitative field (e.g. data analytics, math), • Strong experience in data analysis, modeling, and applied analytics (SQL, Excel, Python, or similar tools)., • Proven ability to work with ambiguous, complex business problems and turn them into actionable solutions., • Excellent communication and storytelling skills, with the ability to present complex analyses in a clear, decision-focused way., • Experience building scenario models, forecasts, or tradeoff analyses to guide business decisions., • Self-starter mentality, with the ability to independently prioritize and drive impact., • Comfortable partnering with leadership and influencing decisions across multiple functions. The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. Salary Range$128,000—$170,000 USD Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our _.

Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest. At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it. We are looking for a Data Analyst II, Ecommerce to own analytics for Greenlight’s devices business. Greenlight sells physical hardware, including the Safe Family GPS tracker and the Family Hub smart home display, through Shopify and Amazon. This role is the analytical lead for that business: measuring what drives device sales, understanding how device buyers convert into subscribers, and helping the team direct marketing spend more effectively across both channels. This is a mid-level IC role for someone who has moved past the fundamentals and is ready to own a domain end-to-end. You will define the measurement framework, drive analysis independently, and translate results into decisions the team can act on. The expectation is not just to answer questions when asked, but to proactively surface what’s working, what isn’t, and where the opportunity is. This role reports directly to the Senior Director, Business Analytics. • Own the end-to-end measurement framework for Greenlight’s devices business across Shopify and Amazon. Define the KPIs, build the reporting, and ensure the team always has a clear, current view of device sales performance., • Measure the full funnel from ad impression to device purchase to subscriber conversion. Understand which marketing inputs drive device sales and which device buyers become high-LTV subscribers. This two-step conversion is the core analytical problem in this role., • Analyze paid performance across Amazon Ads and Shopify-driven channels. Evaluate ROAS, CAC, and payback period at the device level and surface recommendations on where to shift spend., • Dig into the Shopify storefront and Amazon product page funnels. Identify where conversion is leaking, what product, pricing, or creative variables are driving lift, and bring findings forward before stakeholders ask., • Build and own dbt models that encode business logic for the devices domain in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve., • Build and maintain Tableau dashboards that give marketing and leadership a reliable, current view of device sales, channel performance, and subscriber attach rates., • Use Claude fluently as a daily productivity layer: accelerating SQL, generating documentation, QA-ing work, and building faster analytical workflows. Help define and share best practices for AI-assisted analytics across the team., • Partner directly with the devices marketing team to scope analytical problems, pressure-test, • Identify gaps before they become problems: data quality, metric definitions, reporting coverage, and stakeholder understanding. Own the fix, not just the flag., • 4 to 8 years in a data or analytics role with direct experience in e-commerce or retail marketing analytics. You understand how product sales, marketplace channels, and subscription conversion interact., • Hands-on experience with Shopify analytics and Amazon Seller Central or Amazon Ads. You know how these platforms structure their data, what the key metrics are, and how to measure performance across both., • Strong, proven SQL ability. You write clean, efficient queries across complex schemas and can build analytics logic others can maintain. dbt experience, including owning models in production, is a strong plus., • You write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. Experience with pandas and the ability to move fluidly between SQL and Python depending on what the problem calls for is what we’re looking for., • Proficient with Claude or similar AI tools for analytical work. You use them to move faster, not as a crutch. You know how to validate outputs rather than ship the first answer., • You understand how attribution models work in a marketplace context, what makes a good experiment, and how to think about LTV, CAC, and payback period for a hardware product that feeds a subscription business., • You don’t wait to be asked. You spot the gap, scope the work, and drive it to a conclusion. Your stakeholders shouldn’t have to manage your backlog., • You can take a fuzzy business question and turn it into a clear analytical plan. You ask the right clarifying questions and bring structure without needing the problem handed to you pre-scoped., • You communicate findings in a way that drives decisions. You know when a chart is enough and when you need a narrative. You’ve presented to senior stakeholders and know how to calibrate., • Amazon Clean Room experience: privacy-safe audience analysis, overlap measurement, or closed-loop attribution using Amazon’s data collaboration environment., • Experience with Amazon DSP or Amazon Marketing Cloud (AMC) analytics., • Familiarity with Shopify analytics APIs or third-party Shopify reporting tools., • Background in a business that sells hardware with a recurring subscription attached, such as connected devices, wearables, or smart home products., • Hands-on experiment design experience: incrementality testing, geo tests, or A/B testing in an e-commerce context., • Experience with Snowflake or a similar cloud data warehouse., • Experience mentoring or reviewing the work of junior analysts. Not sure this one’s for you? Don’t count yourself out. Show us what you’ve got and we’ll reach out if there’s a great fit. • Medical, dental, vision, and HSA match, • Paid life insurance, AD&D, and disability benefits, • Traditional 401k with company match, • Unlimited PTO, • Paid company holidays and pop-up bonus holidays, • Professional development stipends, • Mental health resources, • 1:1 financial planners, • Fertility healthcare, • 100% paid parental and caregiving leave, plus cleaning service and meals during your leave, • Flexible WFH, both remote and in-office opportunities, • Fully stocked kitchen, catered lunches, and occasional in-office happy hours, • Employee resource groups Our stance on salaries: Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive. The estimated base pay range for this position in (NY, CA, WA): $100,000-130,000 The estimated base pay range for this position in (CO): $100,000-120,000 Who we are: It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team. Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law. Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email _. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Position Summary NWS is seeking a highly organized, analytical, and detail-oriented Finance Operations Analyst to join our growing Finance team. This role plays a key part in supporting financial operations, commission administration, reporting accuracy, data validation, and accounts payable activities across the organization. The ideal candidate thrives in a fast-paced environment, enjoys working with large data sets, and has a passion for operational efficiency, financial accuracy, and process improvement. This position offers an excellent opportunity for an early-career finance professional to gain hands-on experience in finance operations, analytics, reporting, and cross-functional business support. As a Finance Operations Analyst, you will collaborate closely with Finance leadership, Sales Operations, and other business teams to support commission processing, operational reporting, reconciliations, Excess & Obsolete (E&O) analysis, and recurring financial activities that directly contribute to business performance and decision-making. Key Responsibilities Commission Administration & Reporting • Support the preparation, review, and validation of U.S. and Canadian commission statements, • Assist with commission calculations, adjustments, reconciliations, and reporting accuracy, • Investigate and resolve commission-related discrepancies and reporting issues, • Maintain accurate supporting documentation and reporting records, • Partner with Finance and Sales Operations teams to ensure timely commission processing Financial Data & Operational Analytics • Generate recurring operational and financial reports for leadership teams, • Perform data cleansing, validation, and reconciliation activities to ensure reporting integrity, • Support reporting accuracy initiatives and process improvement efforts, • Assist with Excess & Obsolete (E&O) calculations, tracking, and reporting, • Support ad hoc financial analysis and reporting requests Accounts Payable & Financial Operations Support • Assist with invoice processing, vendor communication, and payment tracking activities, • Support weekly payment runs, ACH/wire processing, and invoice approvals, • Maintain accurate vendor records and financial documentation, • Assist with account reconciliations and financial record maintenance, • Support month-end AP close activities, accruals, and audit preparation Process Improvement & Administrative Support • Maintain financial reporting files, templates, and operational documentation, • Support month-end, quarter-end, and year-end finance activities, • Assist Finance leadership with special projects and operational initiatives, • Identify opportunities to improve reporting efficiency, workflows, and data accuracy, • Contribute to the continuous improvement of finance operations processes Qualifications & Experience Required Qualifications • Post-secondary education in Finance, Accounting, Business, Analytics, or a related field, • Strong Microsoft Excel skills, including data analysis and reporting, • Excellent attention to detail and organizational abilities, • Strong analytical and problem-solving skills, • Ability to work with large data sets and manage multiple priorities, • Effective verbal and written communication skills, • Basic understanding of Accounts Payable processes and financial reconciliation, • Experience handling invoices, vendor records, and payment processing activities Preferred Qualifications • Internship, co-op, or entry-level experience in finance, analytics, reporting, or operations, • Experience working with ERP, CRM, or financial reporting systems, • Understanding of commission structures and financial reporting processes, • Experience with data validation, reconciliation, and operational reporting Skills & Competencies • Financial & Analytical Expertise: Strong ability to analyze financial data, perform reconciliations, validate reporting accuracy, and identify trends or discrepancies within large data sets., • Technical Proficiency: Advanced proficiency in Microsoft Excel and experience working with ERP systems, financial reporting platforms, CRM tools, and data management systems., • Operational & Business Acumen: Understanding of finance operations, commission processes, accounts payable workflows, and cross-functional business operations., • Attention to Detail: Highly detail-oriented with a strong focus on accuracy, organization, and maintaining data integrity across financial processes and reporting., • Communication & Collaboration: Strong interpersonal and communication skills with the ability to work effectively across Finance, Sales Operations, and leadership teams., • Problem-Solving & Critical Thinking: Analytical mindset with the ability to identify issues, investigate discrepancies, and implement practical, process-driven solutions., • Time Management & Adaptability: Ability to manage multiple priorities, meet deadlines, and thrive in a fast-paced, evolving environment., • Process Improvement Mindset: Proactive approach to identifying opportunities for operational efficiencies, automation, and continuous improvement within finance processes. Reporting Structure This role reports directly to the Finance team and works closely with Finance leadership, Sales Operations, and cross-functional business partners throughout the organization. Compensation & Benefits • Competitive salary based on experience, • Comprehensive benefits package, • Opportunity for professional growth and career development, • Collaborative and team-oriented work environment Key Performance Indicators (KPIs) The Finance Operations Analyst will be measured on the successful execution and accuracy of financial and operational support activities, including: • Commission Accuracy Rate: Maintain a high level of accuracy in commission calculations, reporting, and reconciliations., • Reporting Timeliness: Ensure recurring financial and operational reports are completed accurately and delivered within established deadlines., • Data Integrity & Reconciliation Accuracy: Minimize reporting discrepancies through accurate data validation, cleansing, and reconciliation activities., • Accounts Payable Processing Efficiency: Support timely invoice processing, payment approvals, and vendor account maintenance., • Month-End Close Support: Contribute to the successful completion of month-end and quarter-end finance activities within required timelines., • Issue Resolution Turnaround: Timely identification, investigation, and resolution of commission, reporting, or payment discrepancies., • Process Improvement Contributions: Identify and implement workflow improvements that enhance operational efficiency, reporting accuracy, or process scalability., • Stakeholder Support & Responsiveness: Deliver responsive and professional support to Finance leadership, Sales Operations, vendors, and internal stakeholders., • Compliance & Documentation Accuracy: Maintain organized and audit-ready financial records, reporting documentation, and supporting files.

The Product Data Analyst is responsible for leading the collection, analysis, and interpretation of data to drive product strategy and execution. This role will work closely with product managers, engineers, sales, and support to ensure that data-driven decisions are made throughout the product lifecycle. You will build the framework that provides data and insights to empower our internal product teams that make data driven decisions that grow the business. If you are a highly motivated, curious, and data-driven individual with a passion for data-driven insights and product development, we encourage you to apply for this exciting opportunity. You will: • Responsible for leading the collection, analysis, and interpretation of data to drive product strategy, adoption and execution for the payment gateway., • Create and own data roadmaps to increase product performance transparency for product stakeholders., • Manage data analytics dashboards to track KPIs and deliver clear, actionable insights to product managers., • Monitor data accuracy, and support proactive investigation., • Support ad-hoc reporting framework where product managers can gather and analyze relevant data including customer/CAM surveys, product usage statistics, and market research., • Conduct opportunity sizing analyses, develop forecasting models, and present data-driven insights to influence strategic decision-making., • Collaborate with Engineering and Data Insights to design, build and document an analytics framework for product experimentation, A/B testing and advanced modeling to support long-term product performance., • Analyze large transaction datasets to uncover trends & opportunities across channels and payment methods (card, ACH, P2P)., • Help product managers define, track, review, and respond to relevant KPI metrics by establishing monthly, quarterly and yearly cadence of facilitated exploration and analysis., • Respond to performance inquiries from partners, support, engineering, support and product -communicate breakages and help drive resolution., • Monitor transaction data integrity throughout the lifecycle, investigating incidents and anomalies., • Work with product engineering to define how and what data points to collect from products. Partner across value streams to validate accuracy of financial data and drive, • Clearly communicate data-driven findings to stakeholders on a monthly, quarterly and yearly cadence. Establish and inspect quarterly OKR’s to measure efficacy of growth initiatives., • Contribute to data discipline across product by promoting an analytical approach, leveraging data-led experimentation for data-informed execution., • Identify inefficient operational processes and automate to reduce manual requirements., • Partner across teams to ensure financial reporting accuracy. Facilitate ledger and ACH reconciliation by identifying discrepancies, and optimizing settlement processes both internally and with partners., • Stay up-to-date on data science and contribute to the data analytics guild across NMI. You may be a fit for this role if you have: • Bachelor’s degree in a related field and/or 3+ years experience in a technical financial services role involving data analysis and interpretation., • Passion for data-driven decision making and drive to dig into our data, spot trends & anomalies., • Strong analytical skills with attention to detail for investigation and identification of issues within complex financial systems., • Track record of proactive issue-response and initiative progression including activation across value streams., • Strong written communication, verbal communication, and business acumen for effectively collaborating across technical and non-technical stakeholder groups., • Independent work ethic and ability to thrive in a fast-paced, agile product environment., • Experience documenting SOPs detailing data ingestion, processing, and reporting for constructed frameworks and ancillary tools., • Interest in data science and establishing data discipline across product teams., • Excellence in conceptual thinking and analytical problem solving., • Proficiency with data visualization tools (Tableau, PowerBI) and Excel/GoogleSheets., • Experience building data pipelines (ELT) ...via Fivetran, BigQuery and dbt or similar tooling. About Us We enable our partners with choice, and challenge the one-size-fits-all approach to payment. You’ve probably used NMI in the last 24 hours without even realizing it. We’re the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We’re creative problem solvers who help visionaries smash through boundaries and think beyond what’s possible so they can think about what’s next. But we’re not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectrum of commerce. We’re all about enabling more payments in more ways and more places. We believe that having a diverse group of employees strengthens both our work and our workplace. We’re focused on making NMI more diverse and welcoming with initiatives like having a dedicated Diversity, Equity & Inclusion action group, diversity goals for hiring, anonymized resume screening, affinity groups such as our Women's network and LGBTQ+ Network, open forums for discussions on diversity and social justice, and measuring inclusion and belonging as part of our regular employee engagement surveys. Do you feel like you have a slightly out of the ordinary career path or history? We are open to all walks of life and very willing to hear your story. Please don’t feel like this should be a barrier to securing a great career at NMI! We appreciate success can come in all shapes and sizes. Fill in the ‘Additional Info’ box on our application to tell us more about your path. We are an Equal Opportunities employer and will provide reasonable support throughout the recruitment process to applicants who have a disability. Please let us know in advance so that any support, aids or adaptations can be put in place to assist you. Please be aware that all offers of employment are made subject to receipt of satisfactory background and financial checks. Benefits • Competitive compensation, • Flex PTO Policy, • Health, Dental and Vision Insurance, • Life, ADD, Short-term and Long-term Disability insurance, • 401k matching up to 4% after two months of service, • Flexible Spending Account, • 13 Paid Holidays, • Bonusly colleague reward, • Employee referral program, • Paid Parental Leave Equal Opportunity NMI is committed to providing equal employment opportunity for all persons regardless of race, color, religion, sex, age, marital status, national origin, sexual orientation or sexual identity, genetic information, citizen status (except those that do not have the legal right to be employed in the United States), disability, military service, service member, veteran status, or any other basis protected by applicable law. Applicants must be authorized to work in the United States. As part of the selection process this role may require an assessment and professional references to determine suitability. An offer will be subject to financial and criminal background checks. #LI-Remote Salary range, depending on experience: $90,000 - $120,000 USD

The Senior Risk Data Analyst plays a critical role in enabling data-driven decision-making across Payliance's Risk & Compliance organization. Build and optimize automated workflows, data pipelines, and reporting processes to improve efficiency and accuracy. Strong proficiency working with large data

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. We're seeking a Senior Data Analyst to join our Data Engineering team who brings three things together: deep healthcare domain expertise that lets you engage health plan clients directly on payment and process questions; the ability to quickly learn and work across Machinify's internal products — from data ingestion through claims adjudication; and a drive to develop and build AI-driven workflows that continuously raise the bar on what our analyst function can do. This is not a pure back-office role — you'll be the bridge between client needs, internal product knowledge, and data-driven outcomes. What You’ll Do • Collaborate with clients and internal stakeholders to understand payment integrity requirements, document process flows, and integrate analytical outputs with client workflows and downstream adjudication systems, • Develop deep understanding of Machinify's internal processes and how they integrate together — from data ingestion through claims adjudication — ensuring analytical solutions are accurate, traceable, and aligned with business needs, • Actively drive AI adoption: prompt and iterate with LLMs to accelerate analysis, identify processes where AI can replace manual workflows, and contribute to AI-assisted pipeline development, • Write and maintain complex analytical SQL against large-scale claims datasets: window functions, CTEs, multi-table joins, query optimization, and production-quality logic that runs reliably at scale, • Identify and build AI-driven automation workflows that replace or accelerate manual analytical processes — moving from one-off prompts to repeatable, team-shareable tooling, • Design and implement data transformations that convert raw medical and institutional claims into canonical models, applying healthcare coding standards (ICD-10, CPT, HCPCS, UB-04, CMS-1500) throughout, • Drive payment integrity analysis — identify overpayment patterns, coordination of benefits issues, and billing edit opportunities by applying deep knowledge of payer policy, CMS regulations, and provider reimbursement methodologies, • Conduct data quality audits and build monitoring frameworks that surface anomalies before they reach production, • Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption, • Partner with engineers, clinical staff, and product managers to translate complex healthcare requirements into data solutions, • Mentor analysts and engineers on healthcare domain questions — serving as the go-to SME on coding, claims adjudication, and payer policy, • Document transformation logic, data lineage, and analytical methodologies to support knowledge transfer and audit readiness What You Bring • 5+ years of data analysis experience and working directly with healthcare claims data, • Deep knowledge of medical claim types (professional and institutional), coding systems (ICD-10-CM/PCS, CPT, HCPCS), and standard form formats (UB-04, CMS-1500), • Demonstrated experience using LLMs or AI tools to accelerate analytical work — not as a novelty, but as a repeatable part of your workflow, • Expert-level SQL: complex analytical queries, window functions, CTEs, performance tuning against datasets of hundreds of millions of rows, • Hands-on payment integrity experience: overpayment detection, COB, billing edits, or claim editing logic, • Familiarity with CMS regulations and commercial payer guidelines as they apply to claims adjudication and payment policy, • Strong communicator — able to discuss healthcare process and payment logic directly with health plan clients and non-technical stakeholders, • Ability to translate ambiguous business and clinical requirements into precise, well-documented data logic, • Working knowledge of provider reimbursement methodologies — MS-DRG/APR-DRG pricing, fee schedules, per diem, and capitation, • Proficiency with Spark SQL or a comparable distributed query engine — writing and optimizing queries against large-scale data environments is a daily expectation, • Experience with Databricks or a cloud data lakehouse (Delta Lake, Snowflake, BigQuery), • Background in ETL/ELT pipeline development or close collaboration with data engineers on pipeline design, • Exposure to value-based care arrangements or risk adjustment (HCC coding, RADV), • Prior experience at a health plan, payment integrity vendor, or healthcare analytics firm What We Offer • Work from anywhere in the US! Machinify is digital-first., • Full Medical/Dental/Vision for employees & their families, • Flexible and trusting environment where you’ll feel empowered to do your best work, • Unlimited FTO, • Competitive salary, equity, 401(k) including employer match The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $140,000-$170,000. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: _

About Lyra Health Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We are looking for a self-driven Senior Data Analyst who demonstrates impact, ownership and innovation. Please note that remote-based candidates must be physically located within the United States. Collaborate closely with Lyra’s Technology, Operations, Product, and other associated teams to provide critical business insights that enable strategic planning and improve operational processes, resulting in high-quality care for clients. Become an expert in the diverse data sources at Lyra, working with Data Engineers, Data Scientists, and fellow Data Analysts to build and enhance Lyra’s data models. Partner with Data Engineering to build a scalable and flexible analytics metrics database using the standard development process involving Snowflake, dbt, Github, and peer reviews. Conduct quantitative analyses to identify meaningful trends in care experience and utilization that uncover new opportunity areas and drive stakeholder decision-making. Provide internal stakeholders with ongoing visibility into key metrics by creating and maintaining Tableau dashboards and reports. Complete time-sensitive ad hoc data requests that inform high-priority business objectives while ensuring high data quality and reporting accuracy. Using domain knowledge and technical expertise, guide and advise stakeholders on reporting logic, metric development, and data limitations/caveats to ensure rigorous methodology and accuracy. Build automation and self service analytics solutions for stakeholders, leveraging data tools and resources such as python, BI tools and automation platforms. 5+ years of data analysis in an industry setting with a preference for individuals who have experience in product / operations analytics and have partnered with engineering, operations and product teams in prior roles. Bachelor’s Degree, preferably in Engineering, Math, Statistics, Analytics/Data Science or other related field. Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views. Experience in working with a cloud data warehouse and modeling analytic views with dbt. Strong experience with defining metrics and developing dashboards and visualizations that provide clear, actionable insights to stakeholders. Experience with developing self-serve automated analytic solutions that involve scripting, data cleansing, data extraction pipelines, and / or process automation. Excellent at cross-functional collaboration with non-technical business stakeholders, especially in translating technical concepts, scoping reporting requests, and working together to create high-quality deliverables. Demonstrated experience in project ownership; capable of independently managing and meeting project milestones. $114,000 - $157,000 a year As a full-time Sr. Data Analyst, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $114,000 to $157,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: • Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances), • Lyra for Lyrians; coaching and therapy services, • Equity in the company through discretionary restricted stock units, • Competitive time off with pay policies including vacation, sick days, and company holidays, • Paid parental leave, • 401K retirement benefits, • Monthly tech allowance, • We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more! We can’t wait to meet you. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health . Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information . This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact . For more information about how we use and retain your information, please see our ."We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - United States or Canada From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role We’re looking for a Data Analyst to join Sardine’s Fraud Intelligence team. This role sits at the intersection of data evaluation, vendor strategy, and fraud detection. You’ll be the analytical engine behind how we assess, test, and onboard new third-party data signals and vendor partnerships — determining which data assets actually move the needle on fraud outcomes for our clients. This is a high-ownership, high-visibility role. You’ll work closely with the Head of Fraud, product, data engineering, and client-facing teams to build rigorous testing frameworks and translate raw vendor data into actionable fraud intelligence. What you’ll be doing: Design and execute structured evaluation frameworks to assess the quality, coverage, and fraud-signal value of incoming data assets from vendor partners Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack Profile vendor datasets for completeness, freshness, match rates, and population coverage across verticals (crypto, fintech, neobanks, e-commerce, etc.) Collaborate with fraud leadership to define evaluation criteria tied to real fraud outcomes — false positive rates, catch rates, precision/recall tradeoffs Translate vendor data findings into clear, actionable recommendations: adopt, pilot, deprioritize, or decline Partner with data engineering to define ingestion requirements and ensure test environments reflect production-like conditions Document evaluation results and maintain an internal knowledge base on vendor data performance over time Support ad hoc deep dives into fraud trends, model performance, and client-specific data questions as needed What you’ll need: 3–5 years of experience in data analysis, data science, or a related analytical role — ideally in fraud, risk, fintech, or a data-heavy B2B SaaS environment Proficiency in SQL (required) and Python or R for data manipulation, statistical analysis, and visualization Solid understanding of evaluation metrics and statistical concepts: precision/recall, AUC/ROC, lift, population distributions, and A/B testing basics Experience working with external or third-party datasets — assessing data quality, match rates, and signal value Strong written and verbal communication skills; ability to synthesize complex analysis into clear narratives for non-technical stakeholders Comfort with ambiguity and the ability to define your own structure in a fast-moving environment Bonus Points Familiarity with fraud signals and data types: device fingerprinting, identity graph data, consortium data, behavioral signals, email/phone intelligence Experience in a vendor evaluation, data partnerships, or procurement-adjacent analytical role Exposure to machine learning concepts and feature engineering, even if not in a full ML engineering capacity Experience working across fintech verticals such as crypto, BNPL, neobanks, or payments Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Job DescriptionThe Role: The HR Data Analyst will support Human Resources and related technology to optimize HR processes, improve efficiency, and ensure compliance. The ideal candidate will have a strong background in system analysis, project management, and process improvement, with hands-on experience in Oracle JD Edwards Enterprise One (E1), or similar HCM systems, and HR-related software tools. Location(s): Salinas, CA - This position is not remote. Areas of Responsibility:Manage HCM related IT tickets in our internal ticketing system. Coordinate solutions, development, and testing with related parties.Research in Oracle Support to resolve system issues and find system enhancements.Lead testing efforts for Electronic Software Updates (ESU's) and Vertex Payroll updates.Analyze system functions and develop business work instructions to optimize HR processes.Implement and teach proper procedures for core HR functions.Work closely with cross-functional teams to capture business requirements and develop strategies to improve business processes and efficiency.Manage additional internal HR software applications (AlertMedia, ApplicantPro, HireForms).Oversee and develop further Employee Self-Service functionality within E1.Create User Defined Objects (UDOs) for users and manage the promotion of UDOs within E1.Create and maintain HCM reports using ReportsNow (Data Access Studio).Assist with training of new HCM users for E1 Navigation.Record HCM processes through Opus (document as additional Work Instructions).Responsible for other E1 system set up (Job Codes, Automatic Accounting Instructions).Gather data and file reports for required Federal Reporting (EEO-1 and CA Pay Data). Preferred Qualifications:Bachelor's degree (BA) from four-year university and three plus years related experience and/or training.Ability to read, analyze, and interpret technical applications, support documentation, and implementation guides. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.Must possess the Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.Should have knowledge of HCM software; Database software; Human Resource systems; Internet software; Payroll systems; Spreadsheet software and Word Processing software. Ideal Candidate:Detail-oriented with a knack for problem-solving.A proactive "can-do" attitude with a strong commitment to excellence and innovation.Enjoys working with people as well as with information, data, programs, systems, processes, and related projects.Quickly becomes the go-to person on HR systems.Communicates collaboratively to accomplish common goals. Job Posted by ApplicantPro