Business Intelligence Engineer II

BS/BA in Business Administration, Finance, Computer Science, Statistics, Information Management, Data Science or related field.
3+ years of experience in BI, data analytics, or a similar role.
Proficiency in Python, with strong experience in visualization libraries (Plotly, Dash, etc…).
Strong SQL skills and experience with relational databases.
Familiarity with data modeling concepts and ETL processes.
Solid understanding of data visualization best practices and user-centric design.
Knowledge of data warehousing and experience with data transformation processes.

Design, develop, and maintain interactive data visualizations and dashboards using Python-based tools (e.g., Dash, Plotly).
Build scalable data pipelines and models to support BI solutions.
Partner with Category Management teams to gather requirements and transform business questions into data-driven insights.
Analyze demand and resource requirements against available resources to identify risks and opportunities and provide recommendations to solve for resource constraints.
Automate reporting processes to improve accessibility and usability of key metrics.
Perform data extraction, transformation, and loading (ETL) from diverse data sources.
Validate data integrity and ensure consistency across reports and dashboards.
Continuously optimize and refactor BI solutions for performance and maintainability.
Stay up to date with trends in data visualization and BI technologies.
Respond to high priority requests from senior business leaders.

Masters in Analytics, or equivalent advanced academic degree
Experience working within Snowflake and Tableau
Additional technical/programming experience including Java, Scala, DBT, or ChatGPT
Data modeling experience in Retail/E-commerce