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Customer Data Analyst

Bonus opportunities Employee discount Remote / work from home options
💫 About Levi Strauss & Co.

In 1853, Levi Strauss opened a wholesale dry goods business in San Francisco that became known as Levi Strauss & Co. Seeing a need for work pants that could hold up under rougher conditions, he and Jacob Davis, a tailor, created the first jean. 

Today we are one of the world's largest brand-name apparel companies and a global leader in jeanswear. We design and market jeans, casual wear and related accessories for men, women, and children.

👉 Job description

Are you looking for Data Analyst jobs in London? Levi Strauss & Co. are seeking a STEM graduate who is passionate about eCommerce and data analysis to join their team. If you want to take your analytical skills to the FMCG industry, this is the perfect next step in your career.

 

Job description - Customer Data Analyst

The Customer Data Analyst plays a critical role in leveraging customer data to drive insights and decision-making within the eCommerce team. The analyst will uncover valuable insights and develop strategies that optimise our loyalty program, driving deeper customer engagement and retention. Additionally, they will translate data into commercial strategies to enhance overall business performance.

This is an exciting opportunity for someone early in their career to join a growing team during a digital transformation. Reporting to the Head of eCommerce and Customer Analytics, this role offers significant learning and growth potential as the team evolves. It’s ideal for a proactive individual looking to hit the ground running and fast-track their career in analytics.

 

Key responsibilities - Customer Data Analyst

In this Data Analyst job, your responsibilities will include:

  • Generating reports and dashboards to track customer, loyalty, and eCommerce metrics.
  • Working as a cross-functional partner with all e-commerce stakeholders to define metrics, conduct regular data pulls, and ensure commercial teams have all data and insights required to make decisions.
  • Working with Loyalty and Trade teams to analyse customer behaviour, identify trends, and provide insights that enhance customer retention and engagement.
  • Developing data-driven recommendations to improve customer segmentation and targeting strategies.
  • Presenting analysis and providing data-driven recommendations to stakeholders to support strategic decision-making.

 

Job requirements - Customer Data Analyst

For this Customer Data Analyst position, Levi Strauss & Co. are looking for:

  • Education: Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics) or a related field.
  • Experience: 1-2 years of experience in data analysis, eCommerce, or a related field.
  • Technical Skills:
    • Strong SQL skills for querying and analysing large datasets.
    • Experience with data visualisation tools (e.g., Tableau, Looker).
    • Strong analytical and problem-solving skills with a keen attention to detail.
  • Knowledge & Abilities:
    • Understanding of eCommerce, loyalty programs, and digital marketing concepts is preferred.
    • Excellent communication skills to translate data insights into actionable recommendations.
    • Passion for eCommerce and customer experience.
    • Ability to work in a fast-paced, team-oriented environment.
  • Decision Making & Problem Solving:
    • Ability to interpret and analyse complex data sets to provide strategic recommendations.
    • Proactively identify opportunities for process improvements and efficiency.

 

If you're a STEM graduate with data analysis and eCommerce knowledge, we'd love to hear from you. Join Levi Strauss & Co. as a Customer Data Analyst today! 

💰 Job Benefits
  • Bonus opportunities
  • Employee discount
  • Remote / work from home options
  • Casual work attire
  • Company mobile phone
  • Private healthcare / insurance
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Levi Strauss & Co. logo
Levi Strauss & Co.
Industry FMCG, Retail & eCommerce
Number of employees 501+
Date founded 1853
Company wide vacancies 1
Workplace Hybrid
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