3 of 3 Remote Analytics Jobs in Stratford-upon-Avon

an accomplished Lead Data Analyst ready to make a significant impact? Join our Body Chassis Engineering (BCE) team and be part of the Data Analytics Chapter. We empower engineers to make data-driven decisions by providing accessible, reliable data and delivering insightful analytics. Support improvements to Vehicle features and systems … ensuring an exceptional customer experience. Collaborate with engineering teams to understand key questions, identify problems solvable via analytics, machine learning, or automation. Lead the development of new methods, promote best practices, and drive continuous improvement. What to Expect Understand data requirements and problem scope of stakeholders Use statistical techniques to … or AWS Ability to structure, analyze, and interpret data Understanding of data visualization principles and tools like Tableau, Looker, Power BI Knowledge of advanced analytics techniques Strong stakeholder management and interpersonal skills JLR offers hybrid working options, fostering a flexible work environment. Some roles may require on-site presence, details More ❯

enhance teaching, learning, and assessment in PE and sport. Both platforms offer innovative tools, including content creation features for teachers, marking automation, and performance analytics, all designed to streamline classroom management and boost student success. As we continue to grow, we’re expanding our offerings to cover more subjects and More ❯

with business objectives Oversee the design, implementation, and ongoing optimization of the data platform, leveraging Azure technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database Ensure the data platform supports data engineering, analytics, and data science initiatives across squads Ensure the data platform … enables easy access to high-quality , secure, and compliant data for all stakeholders, fostering a self-service analytics environment Cross-Squad Coordination & Alignment: Ensure alignment across multiple squads to meet company-wide data objectives and maintain strategic coherence Facilitate collaboration between product management, data science, analytics, and engineering teams to More ❯