Sr. Data Analyst

📋 Description Partnering directly with Commercial, Sales, and Business stakeholders to gather, clarify, and Writing and optimizing complex SQL queries — including joins, CTEs, subqueries, and window Using Python (pandas, NumPy) to automate data workflows, build reusable scripts, and perform data Performing rigorous QA and validation on all data deliverables — ensuring accuracy, completeness Translating complex analytical findings into clear, concise insights and presentations that both Managing multiple concurrent data requests and prioritizing competing business needs in a 🎯 Requirements 3–5 years of professional experience in a data analytics or business intelligence role. Expert-level SQL proficiency — complex joins, CTEs, window functions, subqueries, and performance Hands-on Python experience (pandas, NumPy) for data manipulation, automation, validation, and Proficiency with AWS Athena or comparable cloud data warehouse (Snowflake, BigQuery, Redshift) for Demonstrated ability to translate ambiguous business requirements into clear, executable technical Strong data quality instincts — experience performing end-to-end QA and validation on high-stakes 🎁 Benefits Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere