Senior Data Analyst (IC)

Role Overview

The Data Analytics Engineer enables scale through reusable platform capability rather than bespoke analytics delivery. The role builds and maintains governed data products, analytical models and semantic layers that allow Business Unit Analytics teams to self-serve trusted insight using consistent definitions, reusable patterns and certified data foundations.

What You Will Do

Design, build and maintain governed data products on the Group data platform, including bronze, silver and gold layers, reusable data marts and certified analytical data products. Define and maintain semantic models, star schemas, KPI logic and behavioural entities such as events, sessions, journeys, flows, steps, intents and transitions.

Why It Might Be a Fit

The ideal candidate will have 5-10 years of relevant experience as a Data Engineer and Analyst, with strong experience across data engineering, analytics and data modelling, ideally in digital, channel, behavioural, platform or financial services environments.

Requirements

• 5-10 years of relevant experience as a Data Engineer and Analyst
• Experience in Agile methodologies and ways of work
• Strong experience across data engineering, analytics and data modelling, ideally in digital, channel, behavioural, platform or financial services environments
• Experience in enterprise-scale or regulated environments is advantageous
• Behavioural Analytics technologies experience would be advantageous
• Bachelors or Masters in Computer Science/ Engineering
• Business Analytics
• Microsoft DP-600 or DP-700 certification preferred
• DP-203, PL-300, AZ-900 or relevant Databricks certifications recognised

Tagged as: Data Analysis