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For Companies At a Glance
- Tasks: Lead digital analytics strategy and deliver insights to optimise customer journeys.
- Company: Join Levi Strauss & Co., a community that values individuality and diversity.
- Benefits: Competitive salary, product discounts, paid leave, and a supportive work-life balance.
- Why this job: Shape the future of digital experiences while making a real impact.
- Qualifications: 7+ years in digital analytics with strong SQL and Python skills.
- Other info: Hybrid role in London with excellent career growth opportunities.
The predicted salary is between 54000 - 72000 £ per year.
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a community of people who forge our own paths, challenge the ordinary, and work to leave the world better than we found it. We believe that our differences make us stronger. So add your voice. Make an impact. Find your fit — and your future.
About the Job
The Senior Digital Analyst plays a critical role in shaping and delivering Levi’s digital experience strategy across website and mobile app. This role exists to embed robust data-driven decision making into the product development lifecycle, optimising customer journeys and driving measurable commercial outcomes. The analyst will act as the primary analytics partner for the Senior Product Manager, Head of Site Experience, and VP of E-commerce, owning the digital analytics roadmap, leading experimentation, and setting best practice in measurement and technical implementation.
Key Responsibilities
- Lead digital analytics strategy and roadmap: Define and prioritise analytics projects that deliver meaningful impact to product, digital experience and commercial outcomes. Proactively identify optimisation opportunities and lead end-to-end analytics throughout each project.
- Deliver end-to-end digital insights: Deliver deep-dive analyses on customer journeys, web and app behaviour, and conversion funnels, translating findings into clear, actionable recommendations. Work with business stakeholders to test, implement and monitor recommendations.
- Lead experimentation: Design and evaluate robust A/B tests and multivariate experiments across web and app touchpoints. This will involve defining KPIs, tracking, analysing, and effectively communicating findings and recommendations.
- Develop segmentation and modelling solutions: Build customer segmentations and predictive models to drive personalisation and targeting across digital journeys.
- Partner with senior stakeholders: Be a trusted advisor to product, UX and commercial teams. Partner defining KPIs and provide insights to inform long term strategies.
- Champion data culture: Promote analytics capability and mindset across the business. Upskill teams through training, documentation, and informal coaching.
- Team Leadership: Shape the long-term vision and resourcing strategy for the Digital Analytics team at Levi’s Europe, supporting its growth and evolution. While the role does not initially include direct line management it will involve identifying future capability needs, and helping to build a high-performing, collaborative analytics team as needed.
About You
- Bachelor's degree in a quantitative discipline (e.g. Statistics, Economics, Computer Science, Business Analytics)
- 7+ years of experience in digital/product analytics, ideally in e-commerce or consumer brands
- Strong expertise in web and app analytics
- Advanced SQL and Python
- Experience designing and analysing experiments (A/B, MVT)
- Proven track record of building and deploying customer segmentation frameworks and predictive models
- Proficiency in dashboarding tools (Looker, Tableau, or equivalent)
- Experience developing analytics roadmaps and prioritising workstreams to align with strategic goals
- Excellent commercial understanding and ability to influence business decisions through data, translating insights into clear recommendations
- Excellent communication skills and ability to communicate complex technical findings to a non-technical audience. Comfortable presenting to senior leadership and shaping cross-functional strategies
- Proactive and entrepreneurial mindset to constantly identify new commercial opportunities and risks
This is a hybrid position based in our London office. You will be expected to be in the office three days per week, though time in office may vary depending on business needs.
The expected starting salary range for this role is £54,000 – £72,000 per year. The amount an employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance and our needs.
Levi Strauss & Co. (LSCo.) 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. Available benefits and incentive compensation vary depending on the specifics of the role; details relating to a specific role will be made available upon request.
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.
Senior Data Analyst in London employer: Levi Strauss
Contact Detail:
Levi Strauss Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Show them you’re not just another candidate; you’re genuinely interested in being part of their community.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills and experiences align with the role. Keep it concise but impactful, so they remember you.
✨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 familiar faces!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Be Authentic: When you're writing your application, let your true self shine through. We want to see the real you, so don’t be afraid to share your unique experiences and perspectives that make you stand out.
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Analyst role. Highlight your relevant skills and experiences that align with the job description, especially your expertise in digital analytics and A/B testing.
Showcase Your Impact: Use specific examples to demonstrate how you've made a difference in previous roles. Whether it’s optimising customer journeys or leading analytics projects, we want to know how your contributions have driven results.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Levi Strauss
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll need to demonstrate your expertise in digital analytics. Brush up on your knowledge of web and app analytics, SQL, and Python. Be ready to discuss specific projects where you've used these skills to drive commercial outcomes.
✨Showcase Your Experimentation Skills
Prepare to talk about your experience with A/B testing and multivariate experiments. Have examples ready that illustrate how you defined KPIs, tracked results, and communicated findings. This will show your ability to lead experimentation effectively.
✨Communicate Complex Ideas Simply
You’ll be working with non-technical stakeholders, so practice explaining complex data insights in a straightforward manner. Think of examples where you successfully translated technical findings into actionable recommendations for business decisions.
✨Demonstrate Your Leadership Potential
Even if the role doesn’t involve direct management initially, highlight your vision for building a high-performing analytics team. Discuss how you can champion a data culture and upskill others, showing that you're proactive and ready to take on leadership responsibilities.