Associate Digital Analyst - Fixed Term Contract - 9 Months

Tesco
Welwyn Garden City
1 year ago
Applications closed

Related Jobs

View all jobs

Level 4 Data Analyst

Data Analyst Apprentice

Data Engineer

Data Science Manager

GIS & Data Analyst: Build & Optimize Geospatial Data

Data Engineer: Digital Asset Platform & ML Lead

About the role
At Tesco, we believe in thepowerof spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support.
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, website, and store 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.

You will be responsible for
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:

Collaborate with Product Managers, Engineering, and User Experience (UX) teams in the Customer Support area to identify their data needs, and translate business challenges into analyses Understand how customers and colleagues are using our digital products to make recommendations Participate in setting objectives for the teams you support and measure these Perform deep-dive analyses using a variety of data sources and tools (SQL, Python, Adobe Analytics), and communicate findings and opportunities to product teams Create, maintain, and automate dashboards using visualisation tools (Tableau). Create ad-hoc data visualisations and present to stakeholders Learn new analytics techniques and tools and put these skills into practice. Following our Business Code of Conduct and always acting with integrity and due diligence

The position will be based in Farringdon, London, or our Welwyn Garden City Head Office. Occasional travel to the other office will be required. At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations and the rest remotely.

You will need
You'll need to be able to demonstrate experience of:
Working effectively with people of different backgrounds and data literacy. You can explain information to a diverse audience in relatable terms to influence and build relationships. Analysing data and generating insights to tell a story with commercial awareness, ideally for digital analytics, and can do so using visualisation tools. Knowledge in Adobe / Google Analytics and/or SQL Relevant experience in a quantitative discipline, or a similar university degree of 2:1Personal
Being a self-starter; motivated to deliver high quality work through planning and adapting to change Actively seek better ways of doing things, intellectually curious to develop and learn
What's 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. Click Here to find out more!
Annual bonus scheme of up to 10% of base salary Holiday starting at 25 days plus a personal day (plusBank holidays) 26 weeks maternity and adoption leave (after 1 years' service) 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

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.
Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place whereEveryone's Welcome.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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.