The Data Validation Analyst strengthens client trust by providing technical analysis that supports the sales process. This role translates complex data concepts into clear, actionable insights, helping potential clients understand the scope, strengths, and boundaries of our data offerings.
Key Responsibilities
- Collaborate with sales to demonstrate data accuracy and methodology, addressing client questions and building confidence
- Explain technical aspects of data collection and limitations in an accessible way
- Identify and resolve data quality concerns, using findings to inform product improvements
- Define tailored data solutions that align with client objectives and use cases
- Partner across teams to support business growth and enhance data product value
Qualifications
Required: 2–4 years in client-facing technical roles such as sales engineering or data analysis. Must be able to operate effectively at the intersection of sales and product, with the ability to work independently in a fast-moving environment.
Preferred: A curious mindset focused on continuous learning, interest in coding, and experience with SQL or Python—skills that support day-to-day tasks though not mandatory.
Technical Environment
Tools used daily include SQL and Python for data exploration and validation.
Compensation & Benefits
Annual on-target earnings up to $125,000, plus equity. Benefits include flexible hours, unlimited vacation, strong 401K match, parental leave, wellness allowance, learning reimbursement, and team gatherings. Work model is hybrid, with options to work remotely or from U.S. hubs in NYC, Austin, Miami, Denver, Mountain View, or Seattle. The company culture emphasizes ownership, transparency, impact, skill development, and purposeful speed, with a focus on people and performance over hierarchy.
