101 to 125 of 3,956 Analytics Jobs in London

and non-technical audiences Ensure data quality through governance and regular checks Design and implement data pipelines, ETL processes, and dashboards Apply knowledge of analytics, AI, and cloud technologies Work with varied data products and data lake architectures Coordinate projects with internal teams and external vendors Contribute proven solution design More ❯

and modern data integration approaches. Tools: Jira, Confluence, MS Project. Excellent communication, stakeholder engagement, and leadership skills. Education & Certifications: Master’s degree in Data Analytics, Engineering, or a related field. PMP, Prince2 Agile, or Certified Scrum Master . Additional technical certifications (cloud/BI/data governance) preferred. More ❯

is a key leadership role for someone excited about building scalable systems, managing a high-performing team, and collaborating across disciplines to support advanced analytics, product development, and data-driven decision-making. Role Overview You'll take ownership of the data engineering function, ensuring the systems in place are robust More ❯

is a key leadership role for someone excited about building scalable systems, managing a high-performing team, and collaborating across disciplines to support advanced analytics, product development, and data-driven decision-making. Role Overview You'll take ownership of the data engineering function, ensuring the systems in place are robust More ❯

support marketing efforts, and bring real-world commercial and environmental value to clients. What experience youll need to apply 5+ years' experience in data, analytics, or business intelligence Strong Python skills and experience analysing large datasets Confidence working with cloud-based platforms (Google Cloud Platform preferred) Experience building dashboards using More ❯

is a key leadership role for someone excited about building scalable systems, managing a high-performing team, and collaborating across disciplines to support advanced analytics, product development, and data-driven decision-making. Role Overview You'll take ownership of the data engineering function, ensuring the systems in place are robust More ❯

SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.). Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Synapse, Azure BYOD & Data verse, Azure DevOps, Informatica, BI tools, etc. is a big plus. General business skills: Excellent communication to translate and More ❯

security. Modernise and evolve the data platform using emerging technologies for performance, scale, and automation. Contribute to strategic planning around real-time data, advanced analytics, and machine learning enablement. Ensure your team delivers to a high standard, on time, and aligned with wider business priorities. Foster a culture of curiosity More ❯

security. Modernise and evolve the data platform using emerging technologies for performance, scale, and automation. Contribute to strategic planning around real-time data, advanced analytics, and machine learning enablement. Ensure your team delivers to a high standard, on time, and aligned with wider business priorities. Foster a culture of curiosity More ❯

BDD testing tools like Cucumber or Spock. Experience with AWS or other cloud solutions. Understanding of system architecture, networking, and video quality metrics. Data analytics or data science experience. Experience with mobile test automation for Android and iOS, and UI automation with Cypress/JS/TS. More ❯

quantitative data analysis, statistical analysis, and intelligence work. They will be proficient in SQL and data warehouse platforms, as well as technical proficiency in analytics platforms such as Power BI. Key skills include the ability to collate, summarise, and present complex information to various audiences, gather user requirements for analytical More ❯

for data processing tasks. Carry out data profiling, source-to-target mapping, and quality checks to meet technical and business requirements. Work closely with analytics teams to translate business needs into technical solutions. Follow best practices in database design and coding; contribute to code reviews and collaborative development. Create clear More ❯

Monitoring: Analyze and report on campaign performance and customer engagement, using data to refine strategies and improve ROI. Insights Collaboration: Work with vendors and Analytics teams to generate insights, formulate strategic roadmaps and drive continuous improvements in lifecycle CRM efforts. Requirements Bachelor's degree in Marketing, Business Administration, Computer Science More ❯

runbooks, etc.) Experience working with Azure DevOps and CI/CD pipeline. Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse, Informatica, BI tools, etc. is a big plus. General business skills: Clear communication to translate More ❯

Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau. About Constructor Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where More ❯

the existent program implementation. Generating complex queries to dive deep on process issues. Innovating to improve customer experience. BASIC QUALIFICATIONS 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelor's degree Knowledge of data pipelining and extraction using More ❯

of data science fundamentals to join our world-class team at RAPP. You'll support senior team members in delivering machine learning and advanced analytics solutions for global brands like Ralph Lauren, KFC, and Mercedes. This role is perfect for someone at the start of their career who is passionate More ❯

bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly More ❯

insights into pioneering solutions, addressing complex technical challenges that set new industry standards and drive product strategy and growth. Design and implement scalable data analytics infrastructure to support Abound's rapid growth. Contribute to the development and refinement of the Render technology platform. Mentor junior data scientists and support their More ❯

BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. We are committed to creating a diverse environment and More ❯

management, and scaling of our next generation data platform, with Snowflake and Tableau at the core. This platform will support both advanced reporting and analytics, directly aligned with our company's strategic vision. The ideal candidate will bring revolutionary thinking to our data architecture, tackling existing challenges related to data More ❯

exciting opportunity to work in a dynamic, fast-paced environment, where data science plays a crucial role in risk management, fraud detection, customer behavior analytics, and automation of financial processes. In this role, you will apply machine learning, advanced statistical techniques, and large-scale data processing to develop models that More ❯

and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R More ❯

. Enable the collection of new data and the refinement of existing data sources. Help manage day-to-day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordination and management of small to medium sized machine learning projects in small More ❯

public sector engagements (MoJ, HMCTS, DWP, Home Office, NHS, etc.) . Knowledge of User-Centric Design and GDS design system . Familiarity with security analytics and data visualization tools like PowerBI . Certified Agile Tester (CAT) or ISTQB Agile Tester Extension (CTFL-AT) . Experience with forensics and incident response More ❯