Note: The job is a remote job and is open to candidates in USA. Foot Locker is a global sports and style company seeking an experienced Sr Data Analytics Engineer. The role builds enterprise data and analytics platform components, develops ETL/ELT solutions and Power BI dashboards, establishes data standards, and supports scalable machine learning models through collaboration across data and product teams.

Responsibilities

• Build new Data and Analytics products helping support Foot Locker business initiatives
• Help grow our Data Catalog through ingestions of a variety of internal and third party data sources
• Must be able to support and contribute to assigned POD’s at an Data & Analytics engineering capacity with minimal supervision working within the Agile / Scrum project methodology
• Define data standards that will enable more efficient and effective decision making
• Design, Engineer and Implement ETL solutions and resolve technical issues
• Design Power BI datasets and dashboards, including complex DAX functions
• Participate in a collaborative, peer review based environment fostering new ideas via cross team guilds / specialty groups
• Maintain comprehensive documentation around our processes / decision making
• Participate in the continuous envolution of our schema / data model as we find more data sources to pull into the platform
• Support our Data Scientists by helping enhance their machine learning models to be more scalable during training and model deployment

Skills

• Bachelors Degree in Computer science or related field
• Atleast 5+ years of overall Engineering experience in a Data and Analytics function
• Strong knowledge and experience working as a Data Engineer using industry standard ETL tools
• Strong knowledge and experience working as a BI Engineer using Power BI or equivalent BI tools
• Strong knowledge and experience with Datawarehouse and Business Intelligence
• Advanced SQL Programming skills
• Prior programming experience in Python or Scala around Data Engineering is a big plus
• Prior knowledge and experience in Dimensional modeling (Data Marts, Star/Snowflake, Normalization, SCD2) is a huge plus

Benefits

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

Company Overview