Analytics Engineer
August 29
Description
• Manage our analytics infrastructure: ELT/ETL processes, data warehouse, data orchestration and transformation tools, and business intelligence and presentation layer. • Build usable and performant data marts ready for analysis and end-user consumption. • Engage with business stakeholders to understand the questions driving the business and distill them into the right data sets.
Requirements
• 3+ years with SQL and a cloud data warehouse (Redshift, BigQuery, Snowflake, etc.) • Experience with data modeling business processes and writing performant SQL transforms in a data warehouse • 1+ years experience designing data pipelines using Python as well as commodity ELT (e.g., Stitch / Fivetran). • “Full Stack” analytics (ingestion, warehousing, transformation, analysis/BI)
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