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. Apply today! This Role is 100% REMOTE, US Based 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 Responsibilities 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 Qualifications REQUIREMENTS Bachelors Degree in Computer science or related field Atleast 3+ 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 Experience with Databricks and/or Snowflake is a big plus Experience with one or more Reporting/Dashboarding tool. Demonstrated experience with agile scrum methodology Must possess well-developed verbal and written communication skills. DESIRED CHARACTERISTICS Public cloud experience, preferably Azure or AWS Previous experience at a fortune 500 company SUPERVISORY RESPONSIBILITIES The Data & Analytics Engineer does not have direct supervisory responsibilities QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The successful candidate will have a high degree of motivation, exceptional attention to detail, and the ability to derive answers from communications with multiple parts of the business. This person will also require the ability to work well within a team atmosphere and has the flexibility to help with a variety of the department goals. EDUCATION and/or EXPERIENCE Bachelor's degree (B. S.) from a four-year college or university; or Associate degree in programming from a technical college; and 3-5 years related experience and/or training; or equivalent combination of education and experience. COMMUNICATION SKILLS The candidate must be able to communicate with others in a simple, clear, and understandable manner. Must also have the ability to read and interpret all forms of communication. The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required. REASONING ABILITY The candidate must effectively plan and execute unusual and difficult work. Takes initiative and is decisive and quick, when appropriate. All while adhering to the team’s standards and patterns and practices. Must have the ability to solve practical and impractical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Deals constructively with conflict and disagreement. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee must regularly lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines: Cameras must be on for all virtual interviews. AI tools are strictly prohibited during interviews or assessments. We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.

The annual base salary range is $100,000 - $105,000 / year.

This range represents the anticipated low and high end of the salary for this position.

will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.

is one component of the Foot Locker, Inc. total compensation package, which includes the below.

Foot Locker 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