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