At a Glance
- Tasks: Analyse data to drive product decisions and optimise user experiences.
- Company: Join a leading digital team at Tesco, focused on innovation and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Flexible work environment with a commitment to inclusivity and diversity.
- Why this job: Make a real impact by using data to shape the future of digital products.
- Qualifications: Experience in digital analytics and strong communication skills required.
The predicted salary is between 40000 - 50000 £ per year.
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.
Responsibilities
- 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.
- Deep dive analysis into key areas of the business.
- Supporting, analysing and visualising data to understand areas for optimisation and where to prioritise initiatives.
- 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 mentoring 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.
- 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).
Qualifications
- 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 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 tools (ideally Hadoop and Tableau).
- Advanced data collection from a range of different sources.
- Strong SQL.
- Advanced ETL (cleansing, etc.).
- Thinking at a conceptual level across several customer and colleague touch points.
Personal attributes
- 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.
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.
Digital Analyst employer: WeAreTechWomen
As a Digital Analyst at Tesco, you will thrive in a dynamic and inclusive work environment that champions data-driven decision-making across our innovative digital products. With a strong focus on employee growth, we offer extensive training opportunities and mentorship to help you excel in your career while enjoying the benefits of working for a leading retailer in the heart of the UK. Join us to be part of a team that values collaboration, creativity, and the pursuit of excellence in delivering actionable insights.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst
✨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 WeAreTechWomen!
✨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 Digital Analyst at WeAreTechWomen.
✨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 WeAreTechWomen.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analyst at WeAreTechWomen, 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 Digital Analyst
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 WeAreTechWomen, 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 WeAreTechWomen. 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 WeAreTechWomen
✨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 WeAreTechWomen!
✨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.
