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