[Hiring] Data Validation Analyst REMOTE USAc

Position: Data Validation Analyst

Date Posted: April 9, 2026

Industry: Data Analytics / Market Research / SaaS

Employment Type: Full Time

Experience: 2–4 Years (Preferred in Sales Engineering, Client-Facing Data, or similar analytical roles)

Qualification: Bachelor’s Degree or Diploma in Data Science, Computer Science, Statistics, Business Analytics, or related field

Salary: $Up to $125,000 On-Target Earnings + Equity + Benefits

Location: United States, Remote

Company: YipitData

Description:

YipitData is a fast-scaling market research and analytics company specializing in transforming alternative data into meaningful business intelligence for some of the world’s most influential industries, including e-commerce, ride-sharing, and digital payments. Backed by major investors and valued at over $1B, the company continues to expand its global footprint while maintaining a strong focus on innovation, ownership, and data-driven impact.

The organization processes massive volumes of external data daily, refining it into structured insights that support decision-making for leading investment firms and enterprise clients. With a strong presence across multiple global cities, YipitData promotes a culture built on accountability, learning, and high performance.

This role sits within the Corporate GTM Data Validation team, where you will collaborate closely with sales and data product experts to strengthen client trust in YipitData’s methodologies. As a Data Validation Analyst, you will play a key role in explaining, validating, and demonstrating the reliability of data solutions to prospective enterprise clients, helping drive revenue growth and successful onboarding experiences.

This opportunity is ideal for professionals who enjoy working at the intersection of data analysis and client engagement, and who are eager to deepen their technical and communication skills while contributing directly to business growth.

Key Responsibilities:

• Partner with the sales team to provide technical support and data insights during client discussions
• Clearly explain data methodologies, including strengths, limitations, coverage, and potential gaps to prospective clients
• Investigate and troubleshoot data quality concerns while ensuring accuracy and consistency across datasets
• Support solution design by identifying appropriate data coverage tailored to client requirements
• Collaborate with cross-functional teams to enhance product understanding and drive revenue expansion initiatives
• Help build trust in YipitData’s analytics offerings through clear, data-backed communication and demonstrations

Candidate Profile / Requirements:

• 2–4 years of experience in sales engineering, analytics, consulting, or client-facing data roles
• Strong interest in working across both commercial and technical functions
• Ability to work independently in a fast-paced and evolving environment
• Curiosity-driven mindset with a willingness to continuously improve systems and data quality
• Exposure to SQL or Python is a plus, with enthusiasm to develop coding and analytical skills further
• Strong communication skills to translate technical insights into clear business value

What We Offer:

• Competitive compensation package with performance-based earnings
• Flexible working hours and remote-friendly environment across the United States
• Generous paid time off, parental leave, and wellness support programs
• 401(k) retirement plan with company matching contributions
• Learning and development reimbursement opportunities
• Equity participation in a rapidly growing analytics organization
• A culture focused on ownership, merit-based growth, and meaningful impact rather than hierarchy

YipitData emphasizes professional growth through responsibility, trust, and hands-on experience, allowing team members to accelerate their careers while working on high-impact projects..

Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.

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