London Ecommerce Analytics Intern — Dashboards & Insights

LEVI'S; Greater London; Hybrid; GBP 25,000 - 31,000; Full time

Benefits offered by this job

Product discounts

Paid leave

Job summary

Levi Strauss & Co. is seeking an Analytics Intern to support data-driven decision-making across the eCommerce team in London. You will develop dashboards, run analyses, and deliver insights that influence daily operations and strategic initiatives across ecommerce functions.

The role requires a STEM degree or current study, basic SQL ability, and experience with Tableau or Looker. This is a hybrid office-based role in Central London with three days on-site per week.

Qualifications

• Currently pursuing or recently completed a Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics) or a related discipline.
• Prior internship, academic projects, or online coursework involving data analysis.
• Basic SQL proficiency for querying and analysing large datasets.
• Familiarity with data visualization tools such as Tableau, Looker, or similar platforms.

Responsibilities

• Generate reports and dashboards to track eCommerce, marketing and customer metrics.
• Work 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.
• Work with Merchandising and Commercial teams to identify trends, and provide insights that enhance operational efficiency and trade outcomes.
• Present analysis and provide data-driven recommendations to stakeholders to support strategic decision-making.

Skills

SQL

Data visualization tools

Education

Bachelor's degree in STEM

Tools

Tableau

Looker

Job description

Levi Strauss & Co. is seeking an Analytics Intern to support data-driven decision-making across the eCommerce team in London. You will develop dashboards, run analyses, and deliver insights that influence daily operations and strategic initiatives across ecommerce functions.

The role requires a STEM degree or current study, basic SQL ability, and experience with Tableau or Looker. This is a hybrid office-based role in Central London with three days on-site per week.