Data Product Analyst

Responsibilities:

• Ramp up quickly to become primary owner of high-impact data deliverables, driving product success with accuracy and efficiency.
• Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability.
• Investigate and resolve complex data quality issues, collaborating with Insights and Engineering.

Qualifications:

• 4-6 years experience in data analytics, data operations, or consulting.
• 4+ years working with SQL, Python, PySpark, or similar languages.
• Strong communication skills and ownership mentality.

Compensation and Benefits:

• Annual on-target earnings up to $150K plus bonus eligibility.
• Flexible work hours and vacation, generous 401K match, parental leave.
• Wellness budget and learning reimbursement included.