hackajob
Data Analytics Manager - Analytics Capabilities
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Analytics Manager – Data Products at Tesco
hackajob and Tesco collaboration: We’re connecting Tesco with exceptional professionals for this critical Analytics Manager role.
About the Role
The Analytics Capabilities team develops and manages data products driving intelligent experiences, decisions, and actions across the Tesco ecosystem. Working closely with business (Stores, Finance, People, Customer, Commercial) and technology teams, we enable the seamless build, consumption, integration, and expansion of Data & AI capabilities.
This is an opportunity to join our team and take a leading role in defining, building, and launching high-impact data products that drive Tesco’s business and support colleagues.
Work arrangement: Hybrid role with 3 days on-site (London & Welwyn Garden City offices), balancing flexibility and collaboration.
What’s in it for you
At Tesco, we believe in ‘the little helps’—supporting our colleagues both in and out of work. Explore our comprehensive benefits package here:
- Annual bonus: Up to 20% of base salary
- Holidays: 25 days core + 1 personal day (plus Bank Holidays)
- Healthcare: Private medical insurance
- Parental leave:
- 26 weeks full pay (maternity/adoption) after 1 year’s service
- 13 weeks Statutory Maternity/Adoption Pay
- 6 weeks fully paid paternity leave
- Wellbeing support:
- Free 24/7 virtual GP service
- Employee Assistance Programme (EAP) for you and your family
- Free access to experts for mental wellbeing
Key Responsibilities
1. Data Product Leadership
Learn, build, and optimise scalable, secure, and high-quality data products supporting data-driven decision-making across Tesco.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
2. Team Leadership
- Build, mentor, and develop a high-performing analytics team, fostering a culture of growth, inclusion, and technical excellence.
- Focus on data-savvy and advanced analytics culture.
3. Data Product Development
- Lead end-to-end design, development, and optimisation of:
- Scalable data pipelines & orchestration tools (Spark, Dremio, Airflow).
- Analytical models for advanced analytics, ML, and operational use cases.
- Translate business needs into data-driven solutions.
4. Collaboration & Technical Excellence
- Work cross-functionally (data science, engineering, product, business) to deliver impactful solutions.
- Promote standards (engineering effectiveness, data quality, security) across squads.
5. AI-Assisted Analytics
- Drive AI/ML adoption in data products; proactively explore and implement AI capabilities.
6. Data Governance & Compliance
- Maintain data lineage, cataloguing, and access controls ensuring:
- Ethical use, discoverability, and compliance.
7. Continuous Improvement
- Drive excellence in:
- Delivery speed & product quality
- Reduce defects & time-to-fix
- Innovate in business practices and workflows.
8. Stakeholder & Talent Development
- Communicate complex analytics to technical and non-technical audiences.
- Support recruitment, onboarding, and talent development:
- Identify skill gaps; upskill or join teams to adopt software engineering, AI, automation.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What You’ll Need
Technical Proficiency
-
Robust data product development experience (actionable, scalable).
-
SQL expertise: Spark, Dremio, Teradata, or similar.
-
Business Intelligence & Visualisation: Tableau, ETL frameworks.
-
Hands-on with Python, GitHub, Airflow, Oozie for:
- Data wrangling, pipeline-building, and analytical/web interfaces.
-
Full data lifecycle knowledge:
-/data governance, -/quality, -/security
-
Commercial aperture: Produce outputs for technical & non-technical stakeholders.
People & Communication
- Data storytelling: Translate insights into impactful presentations.
- Multi-disciplinary collaboration: Align technical rigor with business value.
- Inspiration & motivation: Foster inclusive, high-performing teams.
About Us
Our Vision
To be favourite for customers everywhere: home or on-the-go.
Our Purpose
Serving our customers, communities, and planet a little better every day.
We’re more than transactions; we’re a responsible, sustainable business caring for:
- Our stakeholders
- Communities we serve
- The planet.
Culture of Inclusion
Proud to be a Disability Confident Leader, we:
- Celebrate diversity and opportunity it brings.
- Ensure everyone feels they belong.
- Offer a fully inclusive and accessible recruitment process.
We offer varied working patterns (full/part-time), including hybrid models, where possible. Let’s build it together—you matter at Tesco.
Apply to play your part.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location