Sr Analytics Engineer (Checkout)

Strong knowledge of SQL (e.g., Presto, PostgreSQL, BigQuery) Experience with data visualization tools (Power BI, Tableau, Qlik Sense, etc.) Knowledge of data modeling (e.g., dimensional modeling, star schema) Experience with Python for analysis, automation, and data processing

Model data with a focus on analytical consumption, applying best practices to structure data marts, views, and semantic layers aligned with business needs (Databricks and Redshift). Build dashboards and management reports using tools like Qlik Sense / Tableau, focusing on clarity, user autonomy, and action-oriented insights. Translate business needs into data solutions, working closely with product leadership. Create and maintain SQL and Python scripts for data analysis, automation, and consolidation from various internal and external sources. Ensure governance, consistency, and documentation of developed analytical solutions. Automate analytical processes using Python, SQL, and Sense scripts to increase efficiency and reliability. Act as a technical reference, promoting knowledge sharing and analytical best practices across business teams.