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For Companies At a Glance
- Tasks: Collaborate with teams to analyse data and drive product improvements.
- Company: Join a leading tech company focused on innovation and inclusivity.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong focus on diversity and inclusion.
- Why this job: Make a real impact on digital products that millions use every day.
- Qualifications: Experience with SQL and a background in quantitative disciplines.
The predicted salary is between 30000 - 40000 £ per year.
The Product Analytics and Experimentation team sits within the Data & Analytics directorate of the Technology department. Our mission is to deliver insightful and actionable data through reporting, analysis, and experimentation, supporting digital products such as the Tesco Groceries & Clubcard app and store self‑checkout tills.
The position will be based at our Digital Innovation Centre in Farringdon, London, but some travel to Welwyn Garden City head office will be required. In line with our values, we strongly embrace flexible working options.
Responsibilities
- Collaborate with Product Managers, Data Scientists and UX teams owning the Grocery shopping and Whoosh customer journeys, identifying and understanding their data needs.
- Help translate business challenges into questions and analysis, and make product recommendations with colleagues and customers at the heart.
- Help define business objectives/customer needs by capturing the right requirements from the right customers, and challenging assumptions.
- Participate in and contribute to setting objectives and goals for the product teams you support and help measure these.
- Perform deep‑drop analyses using a variety of data‑capture and mining tools (Hadoop, Alteryx, Adobe Analytics), and communicate findings and opportunities to product teams.
- Create, maintain and automate monitoring and analysis dashboards using visualisation tools (Tableau).
- Create ad‑hoc data visualisations following Tesco best‑practice.
- Learn new analytics techniques and tools rapidly and put these skills into practice.
- Follow our Business Code of Conduct and act with integrity and due diligence.
- Work effectively with a variety of people from different backgrounds and with different levels of data literacy.
- Explain complicated information to stakeholders in relatable terms.
- Influence without authority, maintaining cross‑functional relationships.
- Maintain commercial and customer awareness in your work.
Qualifications
- Experience of accessing data using SQL and digital analytics platforms.
- Relevant experience in a quantitative discipline, or a similar university degree of 2 : 1 or higher.
Personal
- Flexibility, ability to plan and organise, responsiveness, creativity, self‑starter.
- Ability to build solid working relationships with peers and senior leadership.
- Strong written, verbal and presentation skills to all levels of seniority and disciplines within the organisation.
We are an equal‑opportunity employer and are committed to diversity and inclusion. We welcome applications from individuals of all backgrounds.
Associate Digital Analyst employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Digital Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Tesco or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics and product management. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively!
✨Tip Number 3
Showcase your analytical skills with a portfolio! Create a few case studies or projects that highlight your experience with SQL, data visualisation tools, and any relevant analytics techniques. This will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Associate Digital Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Associate Digital Analyst role. Highlight your experience with SQL and digital analytics platforms, and don’t forget to showcase any relevant projects or coursework that align with our mission at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our Product Analytics and Experimentation team. Keep it conversational but professional, and make sure to mention how you can help us understand customer needs.
Showcase Your Analytical Skills: In your application, be sure to highlight any experience you have with data analysis tools like Hadoop or Tableau. We want to see how you’ve used these skills in real-world scenarios, so don’t hold back on sharing specific examples!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Data Tools
Familiarise yourself with the data tools mentioned in the job description, like SQL, Hadoop, and Tableau. Be ready to discuss your experience with these tools and how you've used them to solve real business problems.
✨Understand the Product Landscape
Research Tesco's digital products, especially the Groceries & Clubcard app. Think about how data analytics can enhance user experience and be prepared to share your insights during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to translate business challenges into analytical questions. Practice articulating how you would approach a problem, what data you would need, and how you would communicate your findings.
✨Showcase Your Communication Skills
Since you'll be working with various teams, demonstrate your ability to explain complex data in simple terms. Prepare examples of how you've successfully communicated insights to non-technical stakeholders in the past.