Data Validation Analyst
YipitData
Job Overview
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Job Description
About YipitData
YipitData is the leading market research and analytics firm for the disruptive economy. Backed by The Carlyle Group and Norwest Venture Partners, the company has raised up to $475M at a valuation over $1B. Recognized as one of Inc’s Best Workplaces for three years, YipitData processes billions of alternative data points daily to deliver insights for major investment funds and corporations.
What It’s Like to Work at YipitData
The environment is high-impact and fast paced where you take ownership of meaningful projects from day one. The culture values rapid growth, merit-based responsibility, and collaboration.
About the Role: Data Validation Analyst
This role supports the new logo sales team by providing technical expertise and rigorous data analysis. It is ideal for someone with 2-4 years of experience in Sales Engineering or Data Analysis who is comfortable at the intersection of revenue and data.
- Support sales teams with data analysis and technical expertise.
- Troubleshoot and resolve data quality issues.
- Collaborate with Sales, Insights, and Data Product teams.
- Drive improvements in data products and methodologies.
- Contribute to ARR growth and client success.
You Are Likely To Succeed If
You have 2-4 years of relevant experience. You are curious, self-driven, and comfortable working independently. Coding skills (SQL/Python) are a plus and beneficial for the role.
What We Offer
The compensation package includes comprehensive benefits, flexible work arrangements, generous 401K match, parental leave, wellness budget, and the opportunity to earn up to $125K annually along with equity. This remote-friendly role is based in the US, with headquarters in NYC and office hubs in Austin, Miami, and Mountain View.
Key Skills/Competency
- Data Analysis
- Sales Engineering
- Data Validation
- Troubleshooting
- Client Engagement
- SQL
- Python
- ARR Growth
- Collaboration
- Technical Expertise
How to Get Hired at YipitData
- Customize your resume: Tailor technical skills and experience to the role.
- Showcase your projects: Highlight real data validation cases.
- Prepare for technical interviews: Review SQL and Python basics.
- Research YipitData: Understand their culture and success stories.
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