yipitdata
Senior Data Product Analyst
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 3–6 years
- Posted
- 2026-06-12T19:15:27-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Benefits & Perks
ve base salary with comprehensive benefits Fully remote-friendly within the United
Requirements
3–6 years of experience in data product management, product analytics, analytics engineering, data science, market intelligence, alternative data, or a closely related field.
Strong fluency in SQL; comfort with data pipelines, schema changes, and upstream/downstream data dependencies.
Experience owning data documentation, metric definitions, or data quality programs—not just conducting ad hoc analysis.
A track record of cross-functional coordination, ideally between technical data teams and product or commercial stakeholders.
Strong project management instincts: you can run a triage process, maintain a quality library, and coordinate across multiple stakeholder groups without dropping balls.
Clear, structured communication—you can translate complex data methodology questions into guidance that non-technical stakeholders can act on.
Compensation & Benefits
Competitive base salary with comprehensive benefits
Fully remote-friendly within the United States
Flexible work hours and flexible vacation
Generous 401(k) match, parental leave, wellness budget, and learning reimbursement
A growth-oriented environment where advancement is driven by impact—not tenure
Please note: for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
Responsibilities
YipitData is making one of its most ambitious Product bets: building an AI-powered product that transforms how clients interact with data.
This initiative sits at the center of our product strategy and represents a fundamentally new way for customers to access and derive value from our data.
As a Data Product Manager, you will play a pivotal role in making that vision a reality.
You will own the path from raw alternative data to trusted, product ready intelligence—determining how complex datasets are structured, interpreted, and ultimately surfaced to customers.
This role sits at the intersection of data, product, and AI.
You will work with diverse alternative datasets and develop the methodologies that transform those signals into reliable business insights.