Senior Digital Analyst @ Tesco Technology
Your Application Journey
Email Hiring Manager
Job Details
About the Role
The Product Analytics and Experimentation team within the Data & Analytics directorate at Tesco Technology is on a mission to deliver insightful, actionable data through reporting, analysis, and experimentation. With support for the Tesco Groceries & Clubcard app and store self-checkout tills, this role drives innovation and aims to transform technology towards becoming the world’s leading e-commerce business.
You will be responsible for forming relationships with Product Managers and Data Scientists, executing end-to-end analysis, mentoring junior colleagues, and using data from multiple sources to identify trends and opportunities. You will also be expected to represent the team, evaluate commercial impacts of your recommendations, and propose new analytics project ideas.
Key Responsibilities
- Define objectives with product teams and validate hypotheses.
- Gather requirements for analysis and deliver actionable insights.
- Mentor peers and ensure data-driven decision-making.
- Use big data, SQL, ETL, and visualization tools effectively.
- Incorporate external data to support business recommendations.
Requirements
Proven experience in digital or product analytics, strong communication skills, advanced SQL and ETL knowledge, and the ability to influence cross-disciplinary teams are essential. A commercial mindset and the ability to operate in a fast-paced environment are key.
What’s in it for You?
- Annual bonus scheme up to 20% of base salary
- Generous holiday and personal day package
- Private medical insurance and extended leave benefits
- Access to a virtual GP and mental wellbeing support
Key skills/competency
Digital analytics, product analytics, SQL, ETL, big data, BI, data visualization, statistical modeling, data-driven decisions, mentoring
How to Get Hired at Tesco Technology
🎯 Tips for Getting Hired
- Research Tesco Technology's culture: Study their tech initiatives and team structure on LinkedIn and company blog.
- Customize your resume: Highlight advanced SQL, ETL and analytics projects.
- Prepare for interviews: Focus on digital analytics and data interpretation competencies.
- Showcase leadership: Emphasize mentoring and cross-functional collaboration experience.