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hackajob

Senior Digital Analyst

Welwyn Garden City
Posted 1 day ago
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hackajob is collaborating with Tesco to connect them with exceptional professionals for this role.

About The Role

The Product Analytics and Experimentation team sits within the Data & Analytics directorate in the Technology department. Our mission is to deliver insightful and actionable data through reporting, analysis, and experimentation; with a focus on establishing best-practice processes and enabling data-driven decision making across all supported product teams. The Tesco Groceries & Clubcard app and store self-checkout tills are amongst the digital products supported by our team.

Everything is underpinned by our continuous drive for the best tools and technology to deliver our vision. We’re driving innovation and transforming our Technology to become the world’s leading e-commerce business.

We need people who share our ambition to deliver for our customers; Passionate and confident people willing to take the initiative and drive us forwards. In return we offer excitement, a great team, an excellent benefit package, and significant career development opportunities.

At Tesco, you’ll find a world-class data environment with the Tesco Analytics Platform - all of our analytics, sales and customer data in one place. Our team offers unparalleled opportunities to gain fantastic big data analytics experience while working extremely closely with the key decision-makers in the business.

Joining us means playing a part in defining, building and launching an ambitious roadmap of digital products that could affect the lives of millions of people over the years to come.

If that sounds exciting then we'd love to hear from you.

The position can be based in our head office in Welwyn Garden City or our Digital Innovation centre in Farringdon, London.

What Is In It For You

We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you - both in and out of work.

  • Annual bonus scheme of up to 10% of base salary
  • Holiday starting at 25 days plus a personal day (plus Bank holidays)
  • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
  • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

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£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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The above information is a shortened summary, refer to our policies for full details.

You will be responsible for

Responsibilities

Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role’s key responsibilities and measures:

  • Forming and nurturing relationships with Product Managers and Data Scientists, helping them define objectives and key results, setting targets, analysing product releases, defining and validating hypothesis, and making recommendations to grow and improve the Product.
  • Executing end-to-end analysis: gathering and shaping requirements; defining success metrics; identifying and validating sources of data, as well as methods of analysis; delivering insights and liaising with the business to ensure the best recommendations are identified and delivered.
  • Demonstrating ownership, responsiveness and commitment towards your work.
  • Demonstrating strong, data-based decision-making skills, especially when multiple trade-offs are involved and fast decision-making is required.
  • Coaching and mentoring junior colleagues and peers in your team, including direct reports.
  • Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
  • Confidently and competently representing the team when needed.
  • Understanding the commercial impact of your recommendations and insight.
  • Identifying unstructured problems and articulating opportunities to form new analytics project ideas.
  • Giving greater context to analyses by incorporating external data for comparison purposes (industry benchmarks)
  • Following our Business Code of Conduct and always acting with integrity and due diligence.

You will need

Working Requirements

  • Working effectively with multi-disciplinary teams and understanding how to contribute to all phases of the product development lifecycle.
  • Excellent verbal and written communication skills - you must be able to articulate complex concepts to a diverse audience.
  • The ability to influence without authority.
  • Experience in digital or product analytics positions.
  • University degree of 2:1 or higher in a quantitative discipline or relevant experience
  • Commercial awareness.
  • Being a champion of digital analytics tools.
  • Using big data, business intelligence and data visualisation.
  • Online visitor segmentation and statistical modelling techniques.
  • Advanced online data collection.
  • Advanced SQL.
  • Advanced ETL (cleansing, etc)
  • Thinking at a conceptual level across a number of platforms (desktops, mobile, tablets) and channels (online and in store).

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Personal Requirements

  • Flexibility, ability to plan and organise, responsiveness, creativity, self-starter.
  • Able to build solid working relationships with peers and senior leadership.
  • Ability to demonstrate strong written, verbal communication and presentation skills to all levels of seniority and disciplines within the organisation.

About Us

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

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Skills

Digital Analytics
Product Analytics
SQL
ETL
Data Visualisation
Statistical Modelling
Big Data Analytics
Online Visitor Segmentation
Stakeholder Management
Experimentation
Hypothesis Validation
Business Intelligence
Requirement Shaping
Mentoring
Commercial Awareness
Communication Skills

Location

Welwyn Garden City, England, United Kingdom

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