1,526 to 1,550 of 4,432 Analytics Jobs

and user acceptance testing phases Desirable Skills Workday Pro Certification in HCM, Financials, or PSA Experience with Workday integrations (EIB, Studio, Core Connectors) Knowledge of Workday Extend or Prism Analytics Experience with full lifecycle Workday implementations Understanding of HR, Finance, and Professional Services best practices Previous experience in a consulting or client-facing role Familiarity with Agile/Scrum methodologies More ❯

and user acceptance testing phases Desirable Skills Workday Pro Certification in HCM, Financials, or PSA Experience with Workday integrations (EIB, Studio, Core Connectors) Knowledge of Workday Extend or Prism Analytics Experience with full lifecycle Workday implementations Understanding of HR, Finance, and Professional Services best practices Previous experience in a consulting or client-facing role Familiarity with Agile/Scrum methodologies More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

and user acceptance testing phases Desirable Skills Workday Pro Certification in HCM, Financials, or PSA Experience with Workday integrations (EIB, Studio, Core Connectors) Knowledge of Workday Extend or Prism Analytics Experience with full lifecycle Workday implementations Understanding of HR, Finance, and Professional Services best practices Previous experience in a consulting or client-facing role Familiarity with Agile/Scrum methodologies More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

and user acceptance testing phases Desirable Skills Workday Pro Certification in HCM, Financials, or PSA Experience with Workday integrations (EIB, Studio, Core Connectors) Knowledge of Workday Extend or Prism Analytics Experience with full lifecycle Workday implementations Understanding of HR, Finance, and Professional Services best practices Previous experience in a consulting or client-facing role Familiarity with Agile/Scrum methodologies More ❯

and user acceptance testing phases Desirable Skills Workday Pro Certification in HCM, Financials, or PSA Experience with Workday integrations (EIB, Studio, Core Connectors) Knowledge of Workday Extend or Prism Analytics Experience with full lifecycle Workday implementations Understanding of HR, Finance, and Professional Services best practices Previous experience in a consulting or client-facing role Familiarity with Agile/Scrum methodologies More ❯

market-leading SaaS organisation to recruit a Data Engineer for an initial 3-month contract. The role will involve building and optimising data pipelines, ensuring data quality, and enabling analytics and reporting across the business. Responsibilities: Develop and maintain data pipelines in Snowflake using Python and SQL. Write efficient SQL queries and stored procedures for data processing and reporting. Automate More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

play a key part in optimising our data assets by building and refining ingestion pipelines for diverse sources such as vehicle stock, pricing, offers, and images. You’ll develop analytics-ready data models in dbt to empower analysts and data scientists, while implementing and maintaining CI/CD pipelines to ensure robust testing and seamless deployments. Working within our Azure More ❯

Security Engineer, you will: Design, deploy, and maintain core SOC technologies (SIEM, EDR, SOAR, threat intelligence, and logging infrastructure). Develop and optimise detection use cases, correlation rules, and analytics content. Build and maintain automation workflows and integrations using automation platforms or custom scripting. Engineer secure log ingestion pipelines across hybrid cloud and on-prem environments. Support client onboarding, threat More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision-making of More ❯

play a key part in optimising our data assets by building and refining ingestion pipelines for diverse sources such as vehicle stock, pricing, offers, and images. You’ll develop analytics-ready data models in dbt to empower analysts and data scientists, while implementing and maintaining CI/CD pipelines to ensure robust testing and seamless deployments. Working within our Azure More ❯

play a key part in optimising our data assets by building and refining ingestion pipelines for diverse sources such as vehicle stock, pricing, offers, and images. You’ll develop analytics-ready data models in dbt to empower analysts and data scientists, while implementing and maintaining CI/CD pipelines to ensure robust testing and seamless deployments. Working within our Azure More ❯

play a key part in optimising our data assets by building and refining ingestion pipelines for diverse sources such as vehicle stock, pricing, offers, and images. You’ll develop analytics-ready data models in dbt to empower analysts and data scientists, while implementing and maintaining CI/CD pipelines to ensure robust testing and seamless deployments. Working within our Azure More ❯

is a plus. What you'll get in return This is a unique opportunity to be part of a transformative data programme, helping shape the future of reporting and analytics in a dynamic organisation. Job Title: Power BI Developer (Inside IR35)?? Location: Hybrid - North Wales (2 days on-site per week)?? Contract: 6 Months? Rate: Competitive (Inside IR35) What you More ❯

and ethical use. Manage the entire data lifecycle, from data acquisition and storage (e.g., data warehousing, data lakes) to processing and utilisation. Drive the development and deployment of advanced analytics, machine learning models, and business intelligence (BI) solutions to generate actionable insights. Collaborate cross-functionally with executive leadership and departments (e.g., Marketing, Product, Finance) to integrate data-driven decision-making. More ❯

options Want to do more than just pull data and see how your work shapes real products? Join a fast-growing InsurTech that's transforming commercial insurance through data, analytics and technology. You'll work alongside actuaries, underwriters and developers, turning complex data and pricing rules into real-world solutions that change how brokers and insurers operate. This is a More ❯

data pipelines and integration workflows within the Microsoft Azure ecosystem. You will work closely with cross-functional teams to deliver efficient, scalable, and secure data solutions that enable advanced analytics and business intelligence capabilities. Key Responsibilities: Design, build, and maintain data pipelines using Azure Data Factory (ADF) . Develop ETL/ELT processes to integrate and transform large datasets across More ❯

data pipelines and integration workflows within the Microsoft Azure ecosystem. You will work closely with cross-functional teams to deliver efficient, scalable, and secure data solutions that enable advanced analytics and business intelligence capabilities. Key Responsibilities: Design, build, and maintain data pipelines using Azure Data Factory (ADF) . Develop ETL/ELT processes to integrate and transform large datasets across More ❯

solutions that delight customers and support business growth. Key Responsibilities Define and own the product strategy and roadmap for invoicing and accounts receivable products. Partner with engineering, design, and analytics to deliver impactful features that enhance seller experience and cash-flow visibility. Use customer insights and data to identify pain points and prioritise high-value initiatives. Work closely with Risk More ❯

new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and empower the business to make data-driven decisions. As a More ❯

new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and empower the business to make data-driven decisions. As a More ❯