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JOB DETAILS: • Location: Canada, • Role: Supervisory Analyst, • Work Mode: Remote, • Years of experience: 2+ years KEY RESPONSIBILITIES: • Approve equity, fixed income and strategy research reports, • Ensure compliance with regulatory requirements and the firm’s editorial guidelines, including that research be clear and fair, • Ensure recommendations are substantiated by relevant data and investment rationales contain logical integrity, realistic assumptions and an assessment of risks, • Ensure research does not contain promissory language, exaggerated claims, gambling language, opinions that lack a reasonable basis, and unsubstantiated negative management commentary, • Interact with management, research analysts, legal, compliance and colleagues to finalize research reports, • Assess the accuracy of data KEY COMPETENCE: • CIRO certified Supervisory Analyst, • 2+ years of relevant experience, • Good interpersonal skills and excellent written and oral communication skills with English, • Team player who can work in a high-pressure environment; should have the ability to prioritize and juggle several projects at the same time, • Must be comfortable working independently with strong accountability, while also coordinating smoothly across global teams

Catch 22 are recruiting for an Estates Property Analyst - CAD to join a national healthcare property team on a 12-month fixed-term contract for an immediate start. This is an ideal role for someone with strong AutoCAD skills and experience producing and reviewing property and occupancy plans. This role is remote however access to either Birmingham or Manchester would be ideal for training or occasional team meetings. What you'll be doing: • Producing and reviewing Land Registry-compliant CAD plans, • Managing and updating a national library of drawings, • Creating and updating occupancy plans following changes, • Supporting leasing and property teams with technical queries, • Well experienced in AutoCAD, • Background in property / estates / built environment, • Strong attention to detail and data accuracy, • Confident with Excel and databases, • 12-month FTC, • Immediate start preferred, • Salary up to £40,000 (D.O.E), • 37.5 Hour contract, Mon-Fri hours

Iron Mountain Data Centers is seeking a proactive and effective ServiceNow Business Analyst to join our Service Management team. In this role, you are not just gathering requirements—you are the "super BA" acting as the essential link between business needs and the full power of the ServiceNow platform. You will work closely with our Platform Architect to lead the strategic evolution of our functional designs. This role is 100% remote for candidates based in the UK, Hungary, or Poland. What You'll Do (Responsibilities) In this role, you will: • Requirements Management: Manage the complete requirements lifecycle—from elicitation and functional specification to technical design alignment and final validation. You will capture and simplify business requirements directly within ServiceNow and curate a prioritized product backlog., • Process Improvement & Platform Strategy: Proactively analyze current processes to address inefficiencies and design optimal future-state workflows that utilize automation. You will collaborate with the Platform Architect to transform long-term strategy into actionable user stories., • Stakeholder Liaison & Leadership: Serve as the primary liaison between business and development teams, ensuring all parties agree on acceptance criteria. You will also act as a Scrum Master or core contributor, driving cross-functional collaboration and facilitating negotiations to resolve issues., • Platform Advocacy: Serve as the Subject Matter Expert (SME) for all active modules and identify in-platform enhancements to improve user experience and ensure adherence to documented processes. What You'll Bring (Skills & Qualifications) The ideal candidate will have: • Experience: Proven experience on ServiceNow, Salesforce, or similar building management systems/CRM. Experience in the data center or REIT industry is preferred., • Technical Expertise: Proficiency with the ServiceNow platform and Enterprise product suite, along with knowledge of the ITIL service management framework., • Agile Proficiency: Solid experience with Agile/Scrum methodologies, including project ceremonies and artifacts., • Analytical Skills: Exceptional critical thinking and structured problem-solving skills, with a proven ability to perform impact, gap, and cost/benefit analyses., • Communication: Excellent technical writing and verbal communication skills; able to articulate complex concepts to both technical and executive audiences., • Education/Certifications: A Bachelor’s degree in Engineering, IT/IS, or a related field (or professional certification). A ServiceNow System Administration Certification is highly desired. What We Offer (Benefits) • Location: 100% remote role from UK, • Competitive Compensation: Salary and benefits aligned with your experience., • Work-Life Balance: Flexible work options and alternative work arrangements to support your personal needs., • Health & Wellness: Comprehensive health, wellness, and retirement plans., • Growth: Opportunities for continuous learning and professional growth within a global organization. Ready to Join Iron Mountain? If you are a strategic thinker ready to drive the future of service management and automation, we want to hear from you. Apply today to join a team that values innovation, collaboration, and professional excellence!

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

BI Developer Trustmarque | Remote (UK) | Full-time Are you passionate about turning data into meaningful insights that drive real business decisions? At Trustmarque, we’re looking for a talented BI Developer to join our growing data team and play a pivotal role in shaping how data is transformed, modelled, and consumed across the organisation. This is a fully remote role where you’ll sit at the intersection of data engineering and business intelligence, acting as the vital link between technical data pipelines and impactful business reporting. About the Role As a BI Developer, you’ll work closely with Data Engineers and Data Analysts to transform raw data into clean, structured, and analytics-ready datasets. You’ll design and maintain transformation pipelines, build robust semantic models, and deliver high-quality Power BI dashboards and reports that empower stakeholders to make confident, data-driven decisions. What You’ll Be Doing • Act as the key bridge between Data Engineering and Data Analyst teams, ensuring data is structured, documented, and ready for reporting, • Design and build scalable transformation pipelines within Microsoft Fabric, • Develop reusable, well-documented semantic data models optimised for Power BI, • Create and maintain engaging, interactive Power BI reports and dashboards, • Apply advanced techniques including DAX, Power Query, and row-level security, • Support and optimise data pipelines, transforming manual processes into automated, scalable solutions, • Collaborate with stakeholders to translate business requirements into data-driven solutions, • Implement data quality checks, validation rules, and monitoring processes, • Uphold data governance best practices across the BI layer, • Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations), • Conduct data audits to improve quality, security, and governance, • Maintain clear documentation of data flows, lineage, and transformations, • Strong hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, OneLake), • Advanced Power BI skills (report design, DAX, Power Query, dataset management, governance), • Solid understanding of data modelling principles, including star schema design, • Strong SQL skills with a focus on performance optimisation, • Experience with ETL/ELT processes and data transformation workflows, • Knowledge of data warehousing concepts and architectures, • Understanding of data governance, including quality, security, and compliance, • Excellent problem-solving skills with the ability to analyse complex datasets, • High attention to detail and commitment to data accuracy, • Strong communication skills with the ability to work across technical and non-technical teams At Trustmarque, you’ll be part of a collaborative and forward-thinking environment where data is at the heart of decision-making. You’ll have the opportunity to work with modern technologies, influence data strategy, and deliver solutions that make a real impact.

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About the Role We’re partnered with a growing, data-led technology business that is scaling its data capabilities and investing heavily in how data is structured, accessed and used across the organisation. We are looking for a Data Analyst with experience in Analytics Engineering & BI Development with strong SQL expertise at the core of their skillset. This role sits at the intersection of data engineering and business intelligence, combining hands-on data transformation with impactful reporting and visualisation. You’ll play a key role in shaping how data is modelled, consumed and leveraged by teams across the business, enabling better and faster decision-making. The Opportunity This role is ideal for someone who: • Enjoys working deeply with data using SQL, • Wants ownership over how data is structured and delivered, • Is comfortable bridging technical and business teams, • Likes seeing their work directly influence commercial and operational decisions Key Responsibilities • Design and develop scalable data models within a cloud-based data warehouse, • Write, optimise, and maintain complex SQL queries for data transformation and analysis, • Build clean, reliable datasets to support reporting and analytics use cases, • Develop dashboards and reports using modern BI tools, • Translate business requirements into clear, user-friendly data outputs, • Partner with stakeholders across product, commercial, and operations teams, • Implement data quality checks to ensure accuracy and consistency, • Improve performance of queries, pipelines, and reporting outputs, • Identify opportunities to automate and streamline data processes What We’re Looking For Core Experience (Essential) • Strong SQL skills (this is critical) — proven ability to write complex queries (CTEs, window functions, optimisation, performance tuning), • Experience building and maintaining data models for analytical use, • Background in a BI / Analytics Engineering / Data Analyst type role, • Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.), • Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks), • Understanding of ETL/ELT processes and data transformation workflows, • Experience working with non-technical stakeholders and translating requirements Nice to Have • Experience with modern data transformation tools (e.g. dbt or similar), • Exposure to workflow orchestration tools, • Familiarity with version control (e.g. Git) Key Skills & Attributes • Highly analytical with strong problem-solving ability, • Excellent attention to detail, particularly around data accuracy, • Strong communication skills — able to explain complex data clearly, • Commercial awareness and ability to link data to business outcomes, • Proactive mindset with a sense of ownership, • Collaborative approach, working effectively across teams The Package • Up to £65K base salary, • Private Health and Dental, • Generous Pension scheme, • Income protection, • Many other great benefits... Why Join? • Opportunity to shape and influence a growing data function, • High-visibility role with direct impact on business decisions, • Modern data stack and strong investment in data capabilities, • Flexible working environment (remote or hybrid available), • Collaborative, forward-thinking culture, • Vast amounts of career opportunities

Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Location: Remote Hours of work: 40 hours per week Contract Type: Fixed Term Contract – 12 months ISS Facilities is seeking an Asset Analyst to play a critical role in ensuring building and maintenance data is accurate, complete, and fit for purpose. Job Overview This role is focused on checking, organising, and improving asset and contract data to ensure it meets technical standards, contractual deliverables, and client requirements. The Asset Analyst will support the effective management of asset and maintenance information across the contract by applying a rigorous, detail-focused approach to data quality and compliance. Reporting to the AV DV Senior Data Analysts within the AVDV Programme, the role contributes to the wider team through detailed technical reviews of asset and maintenance data. By ensuring accuracy, consistency, and compliance, the Asset Analyst enables operational and technical teams to rely on robust and dependable information to support service delivery. Key Responsibilities • Carry out asset verification to confirm assets physically exist, are correctly identified, and are in the correct locations, • Review asset and survey data to ensure it is technically accurate and aligned with contractual requirements, • Validate asset data including condition, location, maintenance requirements, and SFG20 / Uniclass coding, • Ensure asset and maintenance data complies with legal, safety, and engineering standards, • Upload, export, and update asset and maintenance data within CAFM and related systems, • Ensure assets are correctly linked to buildings, systems, job plans, and maintenance schedules, • Apply strict version control to track changes and maintain data integrity, • Quality check reports and datasets prior to issue, working with surveyors, engineers, contractors, and managers to resolve data gaps or errors Person Specification • Previous experience as an Asset Surveyor or in Asset Verification (essential), • Strong knowledge of building maintenance standards, particularly SFG20, • Sound understanding of Uniclass coding structures, • Very strong Excel skills, including managing and validating large datasets, • Excellent attention to detail with a strong focus on data quality, • Confidence engaging with technical and operational stakeholders, • Ability to work independently while collaborating effectively within a team

Location: Manchester (Hybrid – 3 days office, 2 days remote) Salary: £35,000 per annum Experience: 1 – 2 years About the Company Our client is a well-established global technology firm with a strong presence across multiple international markets. They are known for delivering high-quality digital products and investing heavily in innovation, engineering excellence, and scalable platforms. This is an excellent opportunity for someone early in their QA career to join a structured, high-performing environment with clear progression pathways. Role Overview We are looking for a Junior QA Analyst with 1–1.5 years of experience to support the testing of web and/or mobile applications. You’ll be working closely with developers, product managers, and senior QA engineers to ensure the delivery of high-quality, bug-free releases. This role is ideal for someone who understands QA fundamentals and is now looking to sharpen their skills in a more mature, process-driven environment. Key Responsibilities Execute manual test cases across web and/or mobile applications Identify, log, and track bugs using tools like JIRA / TestRail / Azure DevOps Collaborate with developers to reproduce issues and verify fixes Participate in functional, regression, and smoke testing Support UAT (User Acceptance Testing) cycles Assist in creating and maintaining test cases, test plans, and test scripts Work within an Agile/Scrum environment (stand-ups, sprint planning, retros) Contribute to improving QA processes and documentation Ensure releases meet defined quality standards and acceptance criteria Required Skills & Experience 1 – 2 years of experience in a QA / Software Testing role Strong understanding of software testing lifecycle (STLC) Experience with manual testing (functional, regression, exploratory) Familiarity with bug tracking tools (e.g. JIRA) Basic understanding of Agile methodologies Good attention to detail and problem-solving skills Ability to clearly document defects and test scenarios Desirable (Nice to Have) Exposure to automation tools (e.g. Selenium, Cypress, Playwright) Basic knowledge of SQL for data validation Experience testing APIs (Postman or similar tools) Understanding of CI/CD pipelines Exposure to performance or security testing concepts Soft Skills Strong communication and collaboration skills Proactive mindset with willingness to learn Ability to manage time and prioritise tasks effectively Comfortable working in a fast-paced, delivery-focused environment What’s on Offer £35,000 base salary Hybrid working model (Manchester office) Exposure to enterprise-scale systems and global projects Clear progression into mid-level QA / Automation roles Learning & development support

Spectrum.Life is a whole-of‑health digital partner that guides organisations and their people to thrive, delivering clinically backed digital health, mental health and wellbeing solutions. Our HealthTech delivers digital transformation for Insurers, Educators and Employers through Co‑creation or seamlessly integrated out‑of‑the‑box solutions that decrease digital fragmentation and engage, empower, and transform their people’s lives. Established in 2018 by Stuart McGoldrick and Stephen Costello, Spectrum.Life provides services internationally to over 7.2m insurance members, 3,000 corporate clients, 60 universities and 650,000 university students. Spectrum.Life currently employs over 450 people. Our vision is to change and save as many lives as possible. We are seeking a Senior Technical Product Owner to join our technology team at Spectrum Life. In this role, you will help lead the development of digital healthcare solutions, including a medical device product currently being prepared for CE marking under EU MDR. Acting as the bridge between clinical, quality and business needs and technical execution, you will drive product delivery that enhances patient outcomes and streamlines clinical workflows. You will collaborate closely with cross‑functional teams to define and document technical product requirements, prioritize features, and ensure delivery of secure, scalable, user‑centric platforms. As a key member of the team, you will own technical product documentation and functional requirements, working alongside product managers, solution architects, engineering, QA, regulatory, and clinical stakeholders. You will ensure that engineering outputs align with business and regulatory requirements. This includes supporting preparation of documentation for CE mark submission, contributing to Technical Documentation and Technical File materials, and working within an ISO 13485‑aligned Quality Management System. You will help ensure that product requirements, design documentation, and traceability records support Notified Body submission and ongoing compliance. You will be empowered to shape processes and maintain alignment between engineering execution and product strategy. If you thrive in a fast‑paced environment and are comfortable working within a regulated medical device framework, this role is for you. • Work with the Product and Architecture team to translate complex healthcare user journeys, workflows and business requirements into clear, actionable requirements including epics, features and user stories., • Lead stakeholder meetings and workshops to gather and refine project requirements., • Create detailed, clear requirement documentation using Jira, Confluence and diagram tools., • Collaborate with product, architecture, engineering, UI/UX design, data insights and clinical teams to deliver high‑impact digital health products., • Own the tech product backlog: prioritize features, enhancements, and technical debt based on value, risk, and effort., • Own and lead the product/project backlog creation, grooming, and product demos; ensure timely delivery of features with high quality., • Act as a key stakeholder in release planning, go‑to‑market strategies, and post‑launch support., • Create and distribute clear and comprehensive release notes for stakeholders after each deployment., • Create and maintain living documentation for our projects and systems., • Champion the use of AI tools to streamline processes, such as generating requirement outlines, refining documentation, and supporting backlog management., • Support preparation of documentation required for CE mark submission and Notified Body reviews., • Own and lead preparation and maintenance of Technical Documentation and Technical File materials., • Maintain alignment between product requirements, engineering outputs, and regulatory documentation., • Support QMS documentation activities, including traceability, change control records, and document updates., • Work closely with Regulatory, Quality, Engineering, and Clinical teams to ensure required documentation is complete and audit ready., • 6+ years of proven experience as a Technical Product Owner/Business Analyst/Functional Analyst in a tech‑driven environment – healthcare and/or digital experience would be preferred., • Strong technical background with experience working closely with software engineering teams and the ability to translate business requirements into actionable user stories for engineers and QA teams., • Familiarity with EU MDR and CE mark processes and ISO 13485 based Quality Management Systems., • Deep understanding of and experience with Agile methodologies and product development best practices., • Expert‑level knowledge of Jira (or equivalent) for project and delivery management, including structuring projects, creating workflows, and managing releases., • Experience creating process flows, system diagrams, and other visual documentation using tools like LucidChart., • Experience implementing best‑practice processes and structures for requirements gathering and documentation for technical delivery teams., • Excellent communication and stakeholder management skills, with the ability to influence across functions., • Experience working in a regulated healthcare or medical device environment., • Highly organized, with a keen eye for detail and a talent for managing multiple priorities in a fast‑paced environment., • Able to work autonomously and lead the various projects with minimal oversight/guidance., • You are proactive and take ownership, ensuring that the process from idea to implementation runs smoothly., • Exceptional communication and interpersonal skills, with the ability to articulate complex ideas to both technical and non‑technical audiences., • A solid understanding of the software development lifecycle., • Familiarity with healthcare regulations, data privacy laws, and clinical workflows., • Experience with Salesforce Service Cloud and Health Cloud Implementations., • Certifications such as SAFe PO/PM, or PMP., • Understanding of UX principles., • Understanding of documentation traceability and risk management in regulated product development is an advantage., • Experience working with an eQMS (e.g., Matrix Requirements or a similar platform) is desirable but not essential., • Passion for improving healthcare outcomes through technology and innovation., • Full‑time permanent contract, • Competitive salary (Dependent on experience)., • In‑office, remote or hybrid working options, • 25 days of annual leave, • 24/7 EAP and a wide range of health and wellbeing supports

A leading AI collaboration firm is seeking a Health Informatics Analyst to remotely evaluate and improve AI outputs in healthcare.This role involves analyzing clinical data, reviewing AI accuracy, and providing feedback on healthcare informatics content.Ideal candidates have healthcare data expertis

A leading technology firm is seeking detail-oriented individuals for a part-time Online Data Analyst position.

A technology company specializing in AI seeks a Data Security & DLP Analyst to analyze data security scenarios and classify data sensitivity levels. You will evaluate incident response strategies and help AI understand how sensitive data is exposed. Ideal candidates have 2+ years of experience in da

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The role includes analyzing network, endpoint, and email security scenarios and crafting datasets to enhance AI systems. This position is fully remote, allowing for flexible work hours and offers the opportunity for meaningful contributions to evolving AI security technology.

A major qualifications organization is seeking Development Consultants to help develop qualifications in the Data Analyst sector.

Would you like to be involved with supporting the development of qualifications in the Data Analyst sector? We are looking for Development Consultants to join our team and be part of a growing network of associates. As part of your role, you will receive contextualized training for each development

The programme is completely beginner friendly, so no experience needed. Complete online training designed to take you from zero experience to your first data analyst role. Apply now for the next available cohort.

Location: Fully remote Salary: £50,000+ (depending on experience) The Opportunity You won’t just deliver programmes. You will build them from the ground up. Our client is launching a new suite of digital and AI apprenticeships, starting with the Artificial Intelligence (AI) Data Specialist (ST0763) standard, followed by Data Technician, Data Analyst, Digital Support Technician and Data Engineer pathways. This is a senior role focused on creating high-quality, scalable curriculum and then supporting its successful delivery. For the first three months, your primary focus will be to design and build a complete apprenticeship programme from scratch. From there, you will transition into delivery, refinement and supporting wider growth across our digital provision. The Role Phase 1: Curriculum Design and Build (First 3 Months) You will lead the end-to-end development of the AI Data Specialist programme. This will include designing structured lesson plans and session content, creating assignments and assessment briefs, and developing AI-marked questions supported by clear expected answers and marking logic. You will ensure all content is mapped effectively to Knowledge, Skills and Behaviours (KSBs) and aligned to End Point Assessment (EPA) requirements. You will also design meaningful off-the-job (OTJ) activities and support the development of eLearning and SCORM modules. All content will be structured within our LearnDash and MyPortfolio ecosystem. You will be starting from a blank page, with full ownership to build a programme that is engaging, rigorous and scalable. Phase 2: Delivery and Continuous Improvement Once the first cohort is live, you will take an active role in delivery. This will include facilitating fortnightly live sessions, guiding apprentices through their learning and portfolio development, and providing structured feedback. You will continuously refine the curriculum based on learner progress, engagement and outcomes, ensuring strong alignment with EPA success and real workplace application. Phase 3: Scaling the Provision As the programme grows, you will support the onboarding and development of additional Development Coaches, ensuring consistency and quality in delivery. You will also contribute to the development of further programmes across our digital and data pathways, building on the foundation established in the initial phase. About You This is not a standard Development Coach role. We are looking for someone who can both build and deliver at a high level. You will have strong experience in delivering digital, data or IT-related apprenticeships, alongside a solid understanding of data concepts and emerging applications of AI within business contexts. You will be confident in designing curriculum, creating learning content and developing assessment materials. You will have a clear understanding of apprenticeship standards, KSB mapping and EPA requirements. Most importantly, you will be comfortable starting from scratch, able to structure complex topics into clear and effective learning, and willing to take ownership of building something new. Our client’s Delivery Model Our approach is modern and continuously evolving. Delivery is centred around structured, task-based learning supported by fortnightly live sessions. Apprentices build evidence through our MyPortfolio system, supported by eLearning modules and AI-assisted marking and feedback. They are not tied to traditional delivery methods and are actively developing more effective and engaging ways to support learning. What Success Looks Like Within three months, the AI Data Specialist programme will be fully designed, built and ready for launch. Within six months, the programme will have at least 30 active apprentices, with strong engagement and progress, and you will be supporting additional Development Coaches. Within twelve months, a full suite of digital apprenticeship programmes will be established, with a scalable and consistent delivery model in place. Suitability This role will suit someone who is motivated by building and improving programmes, not simply delivering existing content. It is not suited to individuals who prefer highly structured environments with pre-defined materials or limited scope for ownership. Our client is a growing apprenticeship provider with a strong focus on quality, innovation and practical impact. This role offers the opportunity to shape how digital and AI apprenticeships are designed and delivered, with genuine ownership and influence over the direction of the provision

Are you a proactive, hands-on IT Support professional who loves solving problems and delivering exceptional service? We're looking for an IT & Applications Analyst to join our growing team and play a key role in supporting colleagues across the organisation. As our new IT & Applications Analyst, you will: Provide high quality technical support via phone, email, remote tools and in person Troubleshoot hardware, software, application and networking issues Manage and maintain service tickets - ensuring clear updates and timely resolution Support user account administration and basic server related tasks Assist with Microsoft 365, Windows Desktop, and Azure Virtual Desktop (AVD) Support end user devices (PCs, laptops, mobile devices, printers) Contribute to IT projects and team knowledge documentation Join our out‑of‑hours paid overtime rota when requiredIf you possess a combination of some of the following skills, then LETS TALK! Experience in hands on IT support in a professional services environment Experience with: Windows Desktop Microsoft 365 Active Directory user configuration Basic networking (cabling, patching) Excellent problem solving and analytical skills Strong customer service skills - both face‑to‑face and remote Understanding of data protection and confidentiality Experience supporting legal applications (iManage, Proclaim, BigHand) is desirable but not essential. Experience working across multi‑office environments Previous law firm or professional services experience In return, you will be part of a friendly, collaborative IT Service team where your ideas, initiative and growth matter. We value continuous improvement and will support your development into specialist tools and technologies. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Finance Analyst Start date: 01/05/2026 target Duration: 6 Months initially Location: The role is remote, or you can work from the Newcastle office. Day Rate: £145.87 PAYE Working hours: 7.5 Hours per day , 37.5 hours per week About Join a well‑established, global organisation delivering complex projects. This is a great opportunity for a detail‑oriented Financial Analyst to support project and service teams with budget tracking, cost reporting, and financial control. You'll work in a collaborative environment where accuracy, learning, and clear communication are valued, gaining hands‑on experience while contributing to meaningful, large‑scale operations. Key Responsibilities Deliver accurate budget tracking, forecasting, and monthly cost reporting to support project and service performance Monitor purchase orders, invoices, and cost variances to ensure financial compliance Identify and report cost deviations, providing clear and actionable insights to project and service managers Support effective cost centre control through detailed financial analysis Use strong analytical skills and advanced Excel capability to manage and interpret financial data. Requirements Budget tracking and cost reporting skills Working knowledge of Excel, including spreadsheets and formulas Good numerical ability with strong attention to detail Understanding of purchase orders, invoices and/ or financial processes If this opportunity is of interest, apply now with an up-to-date CV for consideration! Note - if you do not hear back within 48 hours of applying, please assume you have been unsuccessful on this occasion, however, we will have your CV and contact details on files should something more suitable arise. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

Change Analyst - Manchester (Hybrid) The Role We are seeking a Change Analyst to support the successful delivery of organisational and project‑led change. This role is firmly focused on change analysis and impact assessment, helping the organisation understand how change affects people, processes, roles, and systems - and ensuring those impacts are clearly articulated and addressed. Working closely with Project Managers, Product Teams, Business Analysts, and operational stakeholders, you will act as the bridge between proposed change and real‑world adoption. This is not a Business Change Manager role; instead, it is a hands‑on analytical role concentrating on understanding, assessing, and evidencing change impacts to enable effective decision‑making and delivery. The role is Manchester‑based, with a hybrid working model. Key Responsibilities Change Analysis & Impact Assessment Analyse proposed business and technology changes to understand impacts on processes, roles, systems, and behaviours Produce clear, structured change impact assessments and change readiness outputs Identify business risks, adoption barriers, and areas of resistance, escalating where appropriate Support data‑driven decision‑making by clearly evidencing the implications of change Stakeholder Engagement & Insight Gathering Facilitate and support workshops, interviews, and working sessions to gather insight on impacts and readiness Engage with stakeholders across multiple business areas to understand concerns, dependencies, and constraints Build trusted relationships that support honest feedback and informed change decisions Change Planning Support Feed analytical insight into change plans covering communications, engagement, and training activities Work with subject matter experts to shape practical, user‑focused outputs that reflect real operational impacts Ensure proposed solutions align with business needs and are realistically adoptable Communications & Training Support Support training needs analysis and the development of guidance, job aids, or learning materials Collaborate with Business Analysts and Product Teams to ensure messaging is clear, consistent, and user‑centred Contribute to briefings, demos, and user communications that help teams understand what is changing and why Adoption, Benefits & Continuous Improvement Support the tracking of adoption, behavioural change, and benefits realisation Gather post‑implementation feedback to understand how changes are landing Contribute to lessons‑learned reviews to strengthen future change initiatives Support the continuous improvement of change and analysis frameworks, tools, and ways of working Skills & Experience Experience Experience supporting change initiatives within a project, transformation, or operational environment Strong experience in change analysis, impact assessment, or readiness assessment Ability to translate complex change into clear, structured, audience‑appropriate outputs Experience supporting workshops, interviews, or group discussions Exposure to process mapping or business analysis techniques Experience supporting training needs analysis or adoption activities Skills Strong analytical skills with the ability to clearly articulate business and people impacts Excellent written and verbal communication skills Confident stakeholder engagement across technical and non‑technical audiences Highly organised, with strong prioritisation and attention to detail Comfortable working with common desktop and adoption tools (e.g. Excel, PowerPoint, training or digital adoption platforms) Personal Attributes Empathetic and people‑centred, with a strong focus on user impact Curious, analytical, and willing to challenge assumptions constructively Collaborative and relationship‑focused Comfortable working with ambiguity in evolving change environments Proactive, resilient, and able to work independently when required Location & Working Pattern Manchester‑based Hybrid working model (mix of on‑site and remote)

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A leading digital services company in the UK is looking for a detail-oriented Online Data Analyst. Enjoy remote work from the comfort of your home.

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A cloud-based booking platform is looking for a data analyst proficient in SQL. Responsibilities include writing queries, data analysis, and creating reports.

A leading digital services company is seeking an Online Data Analyst for a part-time, long-term project from the comfort of your own home. This role entails enhancing digital maps, verifying data accuracy, and conducting online research.

A financial services company is looking for two Credit Analysts to join their Credit Risk and Data team. The ideal candidates will have 1-2 years of experience in data analysis within a start-up or lending environment. You will collect and structure data, build dashboards, analyze customer behavior,

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A global technology group is hiring a Data Analyst for a 6-month contract in the United Kingdom. Key responsibilities include defining data migrations, liaising with stakeholders, and reporting progress. The ideal candidate will possess knowledge of data structures, technical proficiency in SQL, and

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A prominent digital solutions provider in Greater London is seeking a Senior Data Analyst to transform complex data into actionable insights. This role involves collaborating with cross-functional teams, developing data visualizations using Tableau, and leveraging advanced analytical techniques. Opp

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