Deskripsi Pekerjaan
Job Description Manager, Data Analytics – Business and Product Insights Department Product & Engineering Line Manager Head of Data and AI Location UK Remote Contract Type Permanent Worker Type Manager Job Grade / Level (Skills Matrix) M3 Bonus MBO Travel Requirements Ad Hoc Travel Requirements cont. UK Estimated Annual Mileage (if applicable) N/A Job Description How you’ll make an impact This is a high-impact analytics role that is responsible for driving business and product insight and allowing HSO to measure, understand, and deliver value to its clients. As the Manager, Data Analytics, Business & Product Insights, you will act as the primary owner of analytics delivery, ensuring that insight work is focused on the highest-value questions facing Product, Commercial, and Customer teams. You will combine strong hands-on analytical capability with sound commercial judgement, and the ability to prioritise effectively in a fast-moving environment to deliver value. The role covers complex meaningful problems on the customer, commercial, product performance, experimentation, and ROI-driven insights. You will manage one analyst initially, with scope for the role and team to grow as impact and organisational priorities evolve. This role reports to the Head of Data & AI and works in close partnership with Data Engineering, Product, Engineering, and Commercial leadership. What you'll do • Act as the single point of contact for analytics requests across Product, Commercial, Customer, and Revenue teams. • Shape, prioritise, and sequence analytics work based on business value, strategic importance, and available capacity. • Balance short-term operational needs with longer-term, scalable insight, explicitly focusing on greatest impact and escalate prioritisation conflicts where required, with the Head of Data & AI. • Generate actionable, data-led insights into product performance and customer behaviour, linking feature usage to retention, growth, recall effectiveness, and commercial outcomes, and clearly communicate product value to support strategic decision-making and legacy platform migration. • Help shape and evolve experimentation and causal analysis practices in partnership with Product and Engineering and the Head of Data and AI. • Support well-designed experiments through strong hypothesis framing, metric selection, and post-test deep dive analysis, and applying advanced analytical techniques (e.g. causal analysis, forecasting, segmentation) to extract insight, drive learning, and de-risk product and commercial decisions • Ensure continuity of critical customer and commercial analytics • Identify opportunities to simplify, automate, or self-serve legacy reporting and insights over time. • Reduce reliance on manual or low-value analytics activities, refocusing effort on scalable, and high impact insight. • Remain strongly hands-on in analytics, particularly in the early stages of the role., where you will code in SQL and/or Python to create analytical