Note: The job is a remote job and is open to candidates in USA. Foot Locker is a sports and style retailer whose brands include Foot Locker, Kids Foot Locker, Champs Sports, WSS, and atmos. The company is seeking an experienced Senior Data Analytics Engineer to build enterprise-level data and analytics platform components, develop ETL/ELT pipelines and Power BI dashboards, establish data standards, and support scalable machine learning models.
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