Analyst, Data Science

Bath & Body Works

Bath & Body Works strives to cultivate a diverse and inclusive environment that focuses on delivering exceptional experiences to customers. The role of Analyst, Data Science exists to develop predictive models and insights from customer data, which aids in personalizing customer interactions and supporting Marketing and Finance strategies.

In this role you can expect to have the responsibilities:

• Develop predictive models and scoring programs for business needs.
• Engage with brand partners regarding modeling and analytics.
• Perform data extraction, cleansing, and transformation for modeling.
• Craft complex queries and scripts using Python and SQL.
• Provide insights through analysis of customer behavior and migration patterns.
• Work with teams to plan marketing campaigns based on analysis findings.
• Communicate insights and recommendations throughout the organization.
• Conduct hypothesis tests and calculate sample sizes and power.
• Keep informed on industry trends and business strategies.

This role comes with the following benefits:

• Comprehensive medical, dental, and vision coverage.
• 401k match and stock purchase program.
• Mental health support through Employee Assistance Program (EAP).
• Paid time off and parental leave.
• Tuition reimbursement and scholarships.
• 40% merchandise discount.

This role requires you to have:

• Modeling and analytical experience in Python, R, or SAS.
• Proficiency in pattern recognition, clustering, and statistical techniques.
• Experience in SQL and R programming.

You would benefit from having:

• Familiarity with AI and Machine Learning techniques.
• Experience with cloud data warehouses like Snowflake.
• Background in retail or consumer packaged goods marketing.
• Data visualization skills in Power BI or Tableau.

Bath & Body Works practices inclusive employment policies and offers reasonable accommodations. The company is an equal opportunity employer and considers applicants with various backgrounds, ensuring compliance with fair hiring laws.