At a Glance
- Tasks: Analyse data, build dashboards, and deliver insights to enhance customer experience.
- Company: Join a leading e-commerce brand with a focus on innovation and collaboration.
- Benefits: Competitive salary, paid leave, product discounts, and a supportive work-life balance.
- Other info: Hybrid role in Central London with excellent career growth opportunities.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: 1-2 years in analytics, solid SQL skills, and experience with BI tools.
The predicted salary is between 39700 - 52900 £ per year.
About the Job
As an Associate Data Analyst, you will work alongside experienced analysts to analyse commercial performance, build dashboards, and deliver insights that help optimise customer experience and business performance.
You will collaborate with cross‑functional teams to support data‑driven decision‑making across our digital business.
Key Responsibilities
- Diagnose commercial performance through analytics deep dives and statistical analyses, working alongside senior analysts to develop root cause hypotheses and suggest actions.
- Build, maintain, and iterate stakeholder‑friendly dashboards, giving commercial teams the ability to self‑serve.
- Contribute to standardised KPI definitions and flag data quality issues proactively.
- Conduct experiment analysis to understand the impact of web or app changes on customer experience.
- Monitor customer trends, escalating anomalies and developing intuition for what drives commercial outcomes.
- Collaborate with product, trading, marketing, and operations teams to support data requests and contribute to decisions grounded in data.
- Document logic, assumptions, and methodologies clearly to promote transparency and repeatability.
About You
- 1‑2 year’s experience in an analytics role, ideally within e‑commerce, retail, or a consumer‑facing business.
- Solid SQL skills with a willingness to develop further.
- Experience building dashboards with a BI tool such as Looker, Tableau, or Power BI.
- Familiarity with web or app analytics platforms and event‑based data.
- Understanding of experimentation principles and an eagerness to develop statistical literacy.
- Location & Work Arrangement
This hybrid position is based in our Central London Office.
You will be expected to be in the office three days per week, although time in office may vary depending on business needs.
Compensation & Benefits
The expected starting salary range for this role is £39,700 – £52,900 gross per year.
The amount earned within the salary range will be based on factors such as relevant education, qualifications, performance, and our needs.
Salary ranges may vary by location and currency.
Levi Strauss & Co. offers a total rewards package that includes base pay, paid leave, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life.
Equal Opportunity
LSCo is an affirmative action and equal employment opportunity employer.
We welcome and value people from diverse cultures, backgrounds, and experiences to make LSCo a collective success.
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Associate Data Analyst in London employer: Levi Strauss & Co.
Levi Strauss & Co. is an excellent employer for those seeking a dynamic and rewarding role as a Sales Stylist in Kingston Upon Thames. With a strong emphasis on originality and customer impact, employees enjoy competitive pay, bonuses, and a supportive work culture that fosters personal and professional growth through comprehensive training and development opportunities.
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We think this is how you could land Associate Data Analyst in London
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We think you need these skills to ace Associate Data Analyst in London
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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!
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✨Brush Up on Your Statistics
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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.
