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Manager, Data Analytics

CompraTica Empleos

EMP:Marketing
UK
Tiempo Completo
Remoto
1 vistas

Descripción

Descripción del Puesto

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 (

Habilidades

Matrix) M3 Bonus MBO Travel

Requisitos

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 com.

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