Do you enjoy transforming data into actionable insights and taking a data-driven approach to solving complex business problems? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence solutions? UK Insights & Innovation (I&I) is looking for a proactive Business Intelligence Engineer with strong technical and analytical skills to join our lean, high-impact team in London.
UK I&I is the central insights and innovation team for UK Stores. We identify and act on the highest-impact opportunities where deep UK market understanding and rigorous experimentation drive measurable business results.
Key job responsibilities
- Design, implement, and support key datasets that provide structured and timely access to actionable business information
- Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards that support our business needs and enable self-service analytics
- Lead projects and business discussions that share insights, challenge status quo, and provide forward-looking recommendations to enable decision making across UK priorities
- Drive experimentation strategy and execution, including designing and analyzing A/B tests, building measurement frameworks, and translating experiment results into actionable business recommendations
- Deep dive into large data sets to answer key business questions using SQL, Python, and other data manipulation languages; develop UK-specific analytical models that inform experiment design
- Partner with cross-functional teams to identify white space opportunities, design rigorous experiments, and own end-to-end measurement of innovation initiatives
About the team UK Insights & Innovation obsesses over the needs and context of UK customers by strengthening core inputs, removing customer pain points, and identifying innovative solutions that deliver better engagement, loyalty, and growth in the UK.
Basic Qualifications
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
- Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story
- Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights
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