Marketing data analyst jobs in New York, New York - Page 4Create job alerts

Proficient in SQL, Google Analytics, and data visualization tools, with a proven track record of optimizing marketing ROI through actionable, data-driven insights and predictive modeling. We are seeking a detail- orientated Data Analyst. Problem-solving skills for identifying challenges within data

Strategic Analysis & Insights: Lead analysis of large-scale datasets from digital platforms, CRM systems, and marketing automation tools to uncover actionable trends and opportunities; Design measurement frameworks and learning agendas that align with business strategies and marketing objectives; Co

Maintains data integrity within the CRM (Salesforce) and associated datasets through regular cleansing, standardization, and quality checks of zero-party, first-party, and third-party data. Translates business requirements into data-focused objectives to establish, modify and maintain crucial data i

Digital Marketing Data Analyst | Manager (Remote)Job OpeningsAbout the JobSummary:The professional is responsible for conducting daily reconciliation/trade/transfer tasks for Alternative Investments.

We are looking for a Marketing Data Analyst Intern to join our Marketing team this summer! The Marketing Data Analyst Intern will support the Enterprise Marketing and Growth Marketing teams. The role will focus on marketing analysis, campaign optimization, competitive research, and marketing operati

Minimum 3-5 years proven track record running performance marketing programs with the focus on SEM/PPC/paid search and paid social (Meta), primarily in advertising or marketing agencies. Expert computer proficiency: experience with Microsoft Office Suite, Keynote, Google Data products (such as Googl

The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data initiatives. Strong sense of data ownership — you treat data as a product and hold a high bar for quality an

Experience implementing observability and monitoring for data systems (DataDog, Grafana, or similar). Working closely with the Head of Data and analytics peers, you'll design and implement scalable GCP-based data pipelines — from ingestion through transformation to delivery — maximizing the GCP

We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. Be scrappy to find new sources of audio data and bring it into our ingestion pipeline. Collaborate closely with our Scientists to shift the cost/th

Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries. Deep expertise in dimensional data modeling, schema design, and scalable da

CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Complete development eff

Maxana is looking for a skilled data engineer with.

Lead data ingestion and integration: Bring in complex, high-volume datasets while ensuring strong data contracts, freshness, quality, integrity, and lineage, and build systems that empower domain experts to contribute to and maintain their own data pipelines. Transform raw data into trusted data pro

Huge is looking for a Senior Data Engineer with strong experience in web analytics implementation and data tracking architecture. Develop and manage DataLayer structures to ensure accurate data capture. This role requires hands-on experience with Google Analytics ecosystems and a strong understandin

We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client sy

You’ll be responsible for building, scaling, and optimizing our Databricks data store, visualization store, and AI store, while also enabling large-scale generative AI jobs in Databricks. Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and

Integrate with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout marketing to understand their data needs, and help design datasets with the same engineering rigor as any other software we design. Design, architect, and maintain core marketing da

Establishing and refreshing data architectures/models, data standards, data transformations, and data integrations. Designing, building, publishing, refreshing, and enhancing references that define terms, metrics, business rules, and the like for transparency to business analysts and other consumers

Azure Data Factory, Azure Databricks, or Azure Synapse. MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Ensure all data structures and processes adhere to.

Build and maintain data pipelines for large and complex datasets, from raw inputs through derived and analysis-ready datasets. Experience implementing CI/CD for data pipelines and IaC (Terraform, CloudFormation); Knowledge of data observability, testing, and data quality frameworks. Maintain high st

The Boston Red Sox are seeking a Senior Data Engineer, Baseball Systems who is a hands-on database expert responsible for administering and optimizing large-scale SQL environments, building robust data pipelines, and ensuring high-performance access to critical baseball operations data across on-pre

Implement best practices in data modeling, database design, and data architecture to support robust analytics and reporting capabilities, as well as downstream ML / AI applications. Collaborate with data scientists, analysts, and business stakeholders to understand requirements and enable reliable

Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB. Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques. Sr Director of Engineering and is responsible for defin

You will also be integral to our data and business intelligence stack including building reports and moving data between systems and databases. Business Analyst or Data Analyst role. Analyze data trends to help department heads (Finance, Sales, Ops) make informed decisions.

We are looking for a Data Infrastructure Engineer to help us build scalable data solutions, streamline data ingestion, and maintain high-quality databases that support our scientific and operational teams. This role will be instrumental in optimizing our data infrastructure, ensuring efficient data

Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M&A, screening, and other core capabilities. Partner with data platform teams to define scalable dataset int

This is a role for a backend engineer who thrives in high-stakes, data-intensive environments and enjoys solving complex distributed systems problems — from market data ingestion, to transaction workflows, to revenue and billing accuracy (where “close enough” is not a thing). Stay current on m

Build and maintain robust data pipelines that ingest, transform, and validate complex customer data using PySpark, Python, and dbt to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use. We’re looking for a Data Engineer who’s exc

We’re looking for a Senior Data Engineer II to join ActBlue’s Data Department and contribute to building and evolving the data products that power our platform. As part of the Data Product Team, you'll help integrate our internal data platform with user-facing applications and infrastructure. De

If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. You will play a critical role in shaping AssistRx’s enterprise data architecture, ownin

This role is critical to building, maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to mak

Analyze, redesign, and re-platform on-premise data solutions from Cloudera Hadoop platforms to AWS native data stack. Design, develop, and deploy data pipelines from ingestion to consumption within a big data architecture using Java, Python, or Scala. As a Senior Data Engineer, You Will:.

Hands on knowledge of GIS enabled data stores such as Postgres/GIS, GIS-related libraries such as GeoPandas, and analytic data platforms such as DataBricks. We are looking for an exceptional data engineer that can define, build, and mature the data pipelines, models, and warehouse to help us excel i

Experience evolving existing data pipelines into scalable, production-grade data platforms. Implement robust data validation, monitoring and observability across the data platform. In this role, you will help design and implement the next generation of our data pipelines, enabling our platform to pr

Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental, pipelines, Data ingestion pipelines. Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. As

The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. Set the strategic direction for world-class data analytics tools, including experimentation platforms, ad hoc a

Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. The engineer joining this team will help build tools that interact with external health data networks to colle

Own de‑identification pipelines for ads reporting end‑to‑end—from separating sensitive and non‑sensitive data, applying de‑identification techniques and transformations, and generating privacy‑preserving datasets, to validating data utility and feeding reporting and analytics surfaces.

The platform is not a single database, but a full ecosystem of ingestion pipelines, storage layers, synchronization systems, AI/ML data infrastructure, and developer frameworks to power the next generation of intelligent, extensible CRM features. The Data Platform product line builds the foundation

Familiarity with data modeling, data warehousing, and ETL processes is a plus. Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. Ensure data quality, integrity, and security throughout the data

Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting. In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to tu

If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Implement scalable data modeling patterns (star schemas, data vault, dimensional models)