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 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.
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
EXPERIENCE
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