Data Product Analyst, Corporate

The role

You will own high-impact data deliverables for the Retail team, running QA to keep data accurate across sector products and client outputs. You will investigate complex data quality issues, work with Insights and Engineering on automation, and help clients understand the methodology and data limits.

What you will do

• Become the primary owner of high-impact data deliverables for the Retail team
• Design, maintain and run QA processes for data accuracy and reliability
• Serve as a trusted resource for clients and internal stakeholders on methodology, limitations and coverage
• Independently investigate and resolve complex data quality issues
• Collaborate with Insights and Engineering on best practices and technical solutions
• Improve efficiency and data quality in team workflows and mentor peers

Required qualifications

• 4-6 years of experience in data analytics, data operations or consulting
• 4+ years working with SQL, Python, Pyspark or other programming languages on large, complex datasets
• Familiarity with Github and Databricks
• Experience using sample or panel data to make precise estimates
• Ability to learn complex data methodologies quickly
• Clear communication of complex concepts, orally and in writing
• Ability to manage multiple projects and prioritize independently

Nice to have

• Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company

Benefits

• Flexible work hours
• Flexible vacation
• Generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement

Before you apply

• Visa sponsorship is not offered; candidates who currently or in the future require visa sponsorship cannot be considered

About the company

YipitData is a market research and analytics firm for the disruptive economy, which recently raised $475M from The Carlyle Group. It has offices in the US, APAC and India.