Analytics Engineer II (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 Purpose:
Design and build data models and BI dashboards, data visualizations, and applications to solve business problems. Support Analytics Engineering technical solutions and best practices using requirements and direction.
Job Responsibilities:
Data Modeling & Visualization
Understand the basics for modeling and is able to implement best practices for data visualization. Design performant data models using SQL and BI development tools.
Functional/Technical Requirements
Collaborate and work as part of an Agile team with Product Managers, Analysts, Analytics Engineers, and Data Engineers to understand data and business needs. Translate technical and business concepts and apply to data and BI solutions.
Program/Portfolio Management Support
Understand how to work within an established program management plan to achieve specific goals. Support and maintain production processes and effectively troubleshoots issues. Coordinate code review with engineering, data validation and QA/UAT with analysts and business partners
Technical Developments Recommendation
Design, build, and deploy new data models and BI applications and enhance existing in production. Support efforts and suggest ways to optimize solutions to better meet business, performance, and/or quality needs.
Ongoing Learning and Development
Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching.
Technology Experience
Experience 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). Development experience in SQL. Python development and data architecture experience preferred.
QUALIFICATIONS:
Bachelor's Degree or Equivalent Level Preferred
1-3 years experience
Job Profile
Benefits Competitive total rewards Equity Generous suite of benefits Paid leave
Tasks- Build BI dashboards
- Design data models
- Support analytics engineering solutions
Business Intelligence Data Architecture GitHub GitHub Actions Google BigQuery Google Cloud Platform Looker Microsoft Azure Microsoft Power BI Oracle Python Qlik Sense Snowflake SQL Tableau
Experience1-3 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