Analytics Engineer II
Core
Design and build data models, BI dashboards, and data visualizations to solve business problems and support analytics engineering solutions.
Role type
Analytics Engineer II
Builds
Data models, BI dashboards, and data visualizations
Domain
Retail / Merchandising analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, BI tools (Power BI, QlikSense, Looker, Tableau), cloud platforms (Azure, GCP), cloud data warehouses (Snowflake, BigQuery), databases (Oracle), version control (GitHub), CI/CD
Preferred skills
Python, PySpark, Databricks (Unity Catalog, DABs), advanced SQL patterns (CTEs, MERGE, window functions), dimensional modeling, retail/merchandising domain knowledge
Technologies
Microsoft Power BI, QlikSense, Looker, Tableau, Microsoft Azure, Google Cloud Platform, Snowflake, Google BigQuery, Oracle, GitHub, GitHub Actions, Databricks, PySpark
Responsibilities
Design performant data models using SQL and BI tools; collaborate with Product Managers, Analysts, and Data Engineers to translate business needs into technical solutions; support and maintain production processes and troubleshoot issues; coordinate code review, data validation, and QA/UAT; design, build, and deploy new data models and BI applications; optimize existing solutions for business and performance needs.
Seniority
Mid-level IC (1-3 years experience)
