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