Sr Data Analytics Engineer

Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression.

As part of the DICK’S Sporting Goods family, you’re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s next.

Whether you’re building strategy, shaping innovations, or creating unforgettable customer moments, you’ll contribute to decisions and experiences that define our brands’ impact in the communities we serve.

Come change the game with us.

This Role is 100% REMOTE

At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization.

Foot Locker, Inc. is seeking an experienced individual who has a proven track record of building enterprise level platform components to support product development from multiple teams and lines of business. This role is expected to drive engineering and innovation through collaboration across our Data Platforms, Data Architecture, Data science and our products team to help push Foot Locker, inc. to the next level.

Our current Data & Analytics Platform technology stack comprises of cloud solutions (Microsoft Azure), Databricks, Confluent Kafka, Snowflake and Power BI. Ideal candidate is expected to have a engineering experience around using tools building ETL, ELT Pipeline and Business Intelligence Dashboards

This role will include, but will not be limited to the following 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

• 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 Data warehouse 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

At Foot Locker, we value innovation, authenticity, and integrity in all that we…