Analytics Engineer II

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 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. 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 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 troubleshoot 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. QUALIFICATIONS Technology Experience Experience with Business Intelligence (BI) tools (e.g. Microsoft Power BI, QlikSense, 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. Preferred experience with: Databricks - Unity Catalog, SQL stored procedures, job orchestration, Databricks Asset Bundles (DABs), Metric Views, Genie Power BI - report/dashboard development, DAX measures, data modeling, Power Query SQL - advanced patterns including CTEs, MERGE/upsert, window functions, parameterized stored procedures, dimensional modeling Python - PySpark, notebook-based ETL workflows Retail/merchandising analytics domain knowledge EDUCATION Bachelor's Degree or Equivalent Level Preferred EXPERIENCE 1-3 Years of Experience VIRTUAL REQUIREMENTS Cameras must be on during all virtual interviews. AI tools are not permitted to be used by the candidate during any part of the interview process. Offers are contingent upon a satisfactory background check which may include ID verification. If you have any questions or need accommodations, we're here to help. Thanks for helping us keep the process fair and secure for everyone! #J-18808-Ljbffr