Senior Data Analyst

Foot Locker EMEA

Foot Locker EMEA seeks a talented Senior Data Analyst to join their Customer Intelligence team within the Data & Analytics division. The candidate will play a key role in optimizing the company's digital data infrastructure, resulting in actionable insights. The position involves leading measurement initiatives and facilitating continuous data enhancements.

In this role you can expect to have the responsibilities:

• Enhance existing data infrastructure quality within Adobe Analytics and Power BI.
• Develop and optimize dashboards and reports for stakeholders.
• Enhance digital data with new tagging requirements for accuracy.
• Conduct analysis using Adobe Analytics for actionable insights.
• Generate ad hoc reports for business inquiries.
• Analyze key business drivers to support strategic decisions.
• Translate behavior data into actionable collection requirements.
• Offer recommendations based on data insights to leadership.
• Support and verify data integrity processes.
• Conduct QA on data corrections to assure accuracy.
• Maintain high data quality standards through validation processes.
• Lead A/B test measurement and analysis activities.
• Estimate revenue impacts from scaling successful A/B tests.
• Provide tracking guidelines for A/B test data capture.
• Perform detailed analytics to guide future test iterations.
• Deliver insights through presentations to business teams.

This role comes with the following benefits:

• Employee Discount
• Paid Time Off
• Medical, Dental, Vision Coverage
• 401(k) and Roth 401(k) plans
• Stock Purchase Plan
• Life Insurance
• Flexible Spending Account
• Advancement Opportunities
• Tuition Reimbursement
• Strong Company Culture
• Employee Resource Groups

This role requires you to have:

• Bachelor’s degree in a relevant field
• 2 years experience in SQL and Adobe/Google Analytics
• Expertise in data tagging and quality assurance
• Understanding of digital analytics metrics
• Experience with clickstream data in analytics tools
• Microsoft Excel proficiency
• Strong analytical skills with complex data

You would benefit from having:

• 1 year of experience in Python, Scala, or R
• Basic knowledge of statistical methods
• Customer Segmentation experience
• Digital Marketing concepts experience

Applicants must be authorized to work in the U.S. on a full-time basis; no visa sponsorship is available.