Sr. Analytics Engineer (REMOTE)
Remote - US, United States
At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.
If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!
OVERVIEW:
Job Responsibilities:
Data Modeling and Visualization
Drive the design of complex data models and BI applications to enable easy consumption and analysis. Select appropriate tools and technologies to implement solutions, leveraging clear understanding of industry best practices.
Functional/Technical Requirements
Support functional and technical requirements for Analytics Engineering as part of an Agile team with Product Managers, Analysts, Analytics Engineers, and Data Engineers. Act as a SME for data and business needs within domain.
Program/Portfolio Management Support
Contribute to work within an established program management plan to achieve specific goals. Support and maintain production processes and implement resilient resolutions to mitigate issues. Conduct code review with engineers and QA/UAT with analysts and business partners.
Technical Developments Recommendation
Develop repeatable standards and practices for designing, building, enhancing, and deploying data and BI solutions in production. Research and suggest ways to optimize solutions to better meet business, performance, and/or quality needs.
Ongoing Learning and Development
Develop own and more junior team member capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching.
Technology Experience
Advanced experience and ability to advise others with Business Intelligence (BI) tools (e.g. Microsoft Power BI, Qlik Sense, Looker, Tableau); cloud platforms (e.g. Microsoft Azure, Google Cloud Platform (GCP)); cloud data warehouses (e.g. Snowflake, Google BigQuery); databases (e.g. Oracle); version control systems and CI/CD (e.g. GitHub, GitHub Actions). Advanced development experience in SQL required. Python development and data architecture experience preferred.
QUALIFICATIONS:
Bachelor's Degree or Equivalent Level Preferred
3-6 years of experience
Job Profile
Benefits Competitive total rewards Equity Generous benefits Generous suite of benefits Incentive Paid leave
Tasks- Conduct code reviews
- Design data models
- Develop standards for data solutions
- Mentor junior team members
- Optimize solutions
- Support functional requirements
Business Intelligence Data Architecture Data Modeling GitHub GitHub Actions Google BigQuery Google Cloud Platform Looker Microsoft Azure Microsoft Power BI Oracle Python Qlik Sense Snowflake SQL Tableau Visualization
Experience3-6 years
EducationBachelor's degree Equivalent Level
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9