YipitData
Visit websiteData Product Analyst, Corporate
$150,000 – $150,0004–6 yearsRemote
- Data
- United States
- Full time
- Yesterday
About the role
The Corporate team at YipitData is seeking a Data Product Analyst to help deliver high-impact, data-driven products to retail clients. You will manage data quality end-to-end, resolve complex issues across pipelines, and collaborate with cross-functional partners to ensure data accuracy and reliability. This role involves direct client exposure and requires a professional who thrives in ambiguity and rapid growth.
Responsibilities
- Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
- Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products and client deliverables
- Serve as a trusted resource for clients and internal stakeholders by understanding client needs and aligning them with data methodologies, limitations, and coverage
- Independently investigate and resolve complex data quality issues
- Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
- Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows, and mentor peers accordingly
Required skills
- SQL
- Python
- Pyspark
- Github
- Databricks
- Data analytics
- Data operations
- Data quality management
Nice to have
- Market intelligence
- Consumer data analysis
Qualifications
- 4-6 years of experience in data analytics, data operations, or consulting
Benefits
- Flexible work hours
- Flexible vacation
- 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
About the Company
YipitData is a leading market research and analytics firm for the disruptive economy that analyzes billions of alternative data points to uncover actionable insights. The company operates globally with offices in the US, APAC, and India, and is recognized for a people-centric culture that emphasizes transparency, ownership, and continuous mastery.