2 of 2 Data Analytics Manager Jobs in Central London

Data and Analytics Manager Location: London Hybrid: 2/3 days per week onsite Reporting To: Deputy CEO Salary: £100,000 – £110,000 + Bonus + Benefits A forward-thinking, employee-owned business based in London is entering a significant growth phase supported by external capital investment. We’re seeking a strategic and hands-on Data and Analytics Manager to lead the company’s data journey from the ground up. This is a pivotal role to design and implement the data strategy, business intelligence initiatives, and data governance frameworks, fostering a culture of data-driven decision-making across the organization. Key Responsibilities Build and lead a new data & analytics team. Develop and execute a company-wide data and analytics strategy aligned to business objectives. Own reporting and business intelligence, focusing on Power BI and SQL. Implement and oversee data governance, ensuring compliance with GDPR, ISO27001, FCA, MAS, and other relevant regulations. Serve as the primary liaison between business units and technology teams on More ❯

Data Analytics Manager, £60-70k, Media, Central London (Hybrid Working) Altum Consulting are recruiting a highly skilled and detail-oriented Data Analytics Manager to join a global Media business based in central London. The ideal candidate will have a background in IT or a related technical discipline, combined with solid experience supporting finance … teams through advanced analytics, system improvements, and process automation. This role requires an individual who thrives at the intersection of data, business insight, and technology-someone who can drive analytical strategies, build scalable reporting solutions, and deliver actionable insights to senior stakeholders. Key Responsibilities: Lead the design, development, and deployment of advanced Power BI dashboards and reports to … support business decision-making across departments. Manage and optimize large and complex data sets from multiple sources, ensuring data integrity and availability. Collaborate with cross-functional teams, including finance, IT, and operations, to understand requirements and translate them into scalable analytics solutions. Identify and implement improvements in data systems, reporting processes, and workflow automation. Leverage advanced More ❯