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Salary
≈ $31k – $71k per year (Estimated)
Location
Hybrid (Prague, Czech Republic)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 6, 2026.

Overview
Company
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Profile match
Prohlédněte si aktuální leták, týdenní akce a tisíce produktů s dovozem domů. Nakupujte online a ušetřete ještě více s Clubcard.

About The Product Analytics & Optimisation Team

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.

Key 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:

  • Owning relationships with product managers and UX leads, helping them define objectives and key results, setting targets, analysing product releases, defining and validating hypothesis, and making product recommendations.
  • Owning the product analytics responsibilities for Central Europe (Czech Republic, Poland and Hungary.
  • Executing end-to-end analysis: gathering and shaping requirements; defining success metrics; identifying and validating sources of data; identifying and validating methods of analysis; delivering insights and liaising with clients and partners 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.
  • Having great coaching skills and mentor junior colleagues and peers in your team.
  • Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
  • Confidently and competently representing the team when needed.
  • Having an understanding of the commercial impact of your recommendations and insight.
  • Identifying unstructured problems and articulate 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.

Skills & Experience

You’ll need to be able to demonstrate experience of:

  • Working effectively with multi-disciplinary teams and understanding how to contribute to all phases of the product development lifecycle.
  • Excellent English 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 analytics positions.
  • University degree in a quantitative discipline or relevant experience
  • Commercial awareness.
  • Being a champion of digital analytics tools (e.g. Adobe Analytics, Google Analytics etc).
  • Using big data, business intelligence and data visualisation tools.
  • 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 (desktop, mobile, tablet) and channels (online and in store).

Personal

  • 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.

Additional information

Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with (for all):

  • Up to 20% yearly salary bonus - based on both individual and business performance
  • Sick leave compensation
  • 1 extra week of annual leave above your legal entitlement of 4 weeks, to support your well-being and family life
  • Pension insurance contribution
  • Cafeteria benefit system & Multisport card
  • Training and Development Plan, supported by certified training and learning platforms like Udemy, Udemy Pro and LinkedIn
  • Referral Bonus
  • Flexible work time
  • Hybrid opportunity: 3 days on-site work/week
  • With our Tesco Colleague Clubcard you and your family can enjoy a 15% discount on in-store and online shopping
  • Meal allowances
  • Virtual doctor and Employee assistance program to support colleagues wellbeing

Join our team and be a part of building one of the biggest brands in the retail industry!

Let us know you are interested by pushing the ANSWER button!

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