At a Glance
- Tasks: Lead digital analytics to enhance customer experiences and drive data-driven decisions.
- Company: Join Tesco, a leading supermarket and tech innovator with a collaborative culture.
- Benefits: Enjoy competitive salary, annual bonus, private medical insurance, and generous holiday allowance.
- Other info: Flexible working options and a commitment to inclusivity for all applicants.
- Why this job: Make a real impact by optimising digital products and mentoring future analysts.
- Qualifications: Experience in analytics, strong communication skills, and a degree in a quantitative field.
The predicted salary is between 56700 - 69300 £ per year.
About the role
The Product Analytics and Experimentation team sits within the Digital Product team in Technology function. Our mission is to deliver insightful and actionable data, through reporting, analysis, and optimisation; with a focus on establishing best-practice processes and enabling data-driven decision making across all product teams. The Groceries, Clubcard websites and apps, Tesco till, Colleague Apps and the newly launched Clubcard Plus propositions are amongst the digital products supported by our team.
You will be responsible for:
- 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.
- 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.
- Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
- Being the lead team expert on digital and product analytics, and ensuring that you drive best practice within the team. Being a central point of contact for best practice and excellence in your specialist subject around the wider business.
- Guiding, training and mentoring others. Developing and delivering structured training to the team to assist in upskilling.
- Using models, advanced analytics and statistical techniques to serve the purpose of the business, making recommendations to improve customer experience and business results.
- Proactively identifying data quality improvements that increase the performance and accuracy of KPIs and analysis.
- 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.
This role will best suit an individual who enjoys working as part of a team, is well organised, pragmatic and a lateral thinker with an inquisitive mind who is motivated to make change for the better and, most importantly, puts our customers first.
You will need:
- 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.
- Several years of experience in analytics positions.
- University degree of 2:1 or higher in a quantitative discipline or relevant experience.
- A high level of commercial awareness.
- Being a champion of digital analytics tools.
- Managing change in a dynamic environment.
- Advanced use of big data, business intelligence and data visualisation tools (ideally Hadoop and Tableau).
- Advanced data collection from a range of different sources.
- Expert level SQL and advanced ETL (cleansing, etc.).
- Experience with visitor segmentation and statistical modelling techniques.
- Thinking at a conceptual level across several customer and colleague touch points.
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.
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. Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 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.
About Us
You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.
At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.
We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.
Lead Digital Analyst (Store Checkout Experience) employer: Tesco UK
Tesco UK is an excellent employer, offering a supportive work culture that prioritises customer care and teamwork. With flexible shifts and opportunities for personal growth, employees can enjoy a rewarding career while making a positive impact in their local communities across Exeter. The company values its staff, providing training and development to ensure everyone can thrive in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Digital Analyst (Store Checkout Experience)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tesco UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Digital Analyst (Store Checkout Experience) at Tesco UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tesco UK.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Digital Analyst (Store Checkout Experience) at Tesco UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Digital Analyst (Store Checkout Experience)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tesco UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tesco UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tesco UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tesco UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.