Solutions Consultant, Data & Insights
Payscale
| Company | Payscale |
| Category | Consulting & Strategy |
| Location | Remote-United States |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 115k–172k |
| Posted | 26 May 2026 |
| Last verified | 7 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
ABOUT PAYSCALE
Payscale is the pioneer of compensation intelligence, helping organizations make smarter pay decisions that drive business performance. For more than 20 years, Payscale has combined trusted market data with AI-powered technology to deliver actionable insights that turn pay from a cost into a catalyst for growth. The Payscale Intelligence Cloud portfolio of solutions — Ascent, JobNav, and Paycycle — empower top companies and businesses like Cintas, Leidos, Chipotle, Ohio State University, and TJX Companies.
Create confidence in your compensation. Payscale.
To learn more, visit www.payscale.com http://www.payscale.com.
Job Summary
As a Solutions Consultant, Compensation Data & Insights, your primary responsibility is to help customers understand, trust, and apply compensation data to real business decisions. You partner with our go-to-market organization to help customers evaluate the best data fits for them while clearly articulating how Payscale’s compensation data supports accurate, defensible, and equitable pay outcomes.
This role is for someone who is fluent in compensation data, benchmarking logic, survey methodology, Payscale’s unique data set and market pricing conversations—and who can translate that expertise into clear executive-level insight.
What You'll Do
- Compensation Advisory
- Support conversations focused on how customers price jobs, benchmark roles, manage internal equity, and respond to market movement
- Diagnose data quality issues, coverage gaps, and confidence challenges in existing compensation approaches
- Advise customers on appropriate data sets and market pricing strategies based on role scope, geography, industry, and maturity
Compensation Data Expertise
- Explain compensation data methodology, sources, sample sizes, aging, cuts, and reliability with clarity and credibility
- Help customers interpret market ranges, percentiles, and trends to support their ideal compensation strategy
- Compare and contextualize different compensation data approaches (Payscale’s data, third party surveys, blended sources, modeled data)
Insight & Value Storytelling
- Translate compensation data into narratives that resonate with HR, Finance, and executive stakeholders
- Tie market insights to business outcomes such as attraction, retention, pay equity, and cost management
- Help customers move from reactive pricing to more proactive, data-informed compensation decisions
Pre-Sales Partnership
- Partner with Account Managers, Account Executives and our Customer facing organization to support the data side of deal strategy, technical validation, and executive discussions
- Tailor conversations to customer maturity—from foundational benchmarking to advanced market strategy
- Support customer evaluation processes with clear, defensible data positioning
What We're Looking For
- 4–7+ years of experience in compensation, compensation consulting, survey analytics, or data-driven advisory roles
- Deep understanding of compensation benchmarking, job pricing, and market data interpretation
- Strong ability to explain data concepts to non-technical audiences without oversimplifying
- Comfort engaging with senior HR, Total Rewards, and Finance leaders
- Experience influencing decisions through insight and credibility
Nice to Have
- Background in compensation surveys, consulting firms, or labor market analytics
- Familiarity with statistical concepts related to market data (percentiles, distributions, aging)
- Experience supporting enterprise-level compensation programs
- Prior exposure to pre-sales or customer-facing advisory roles
What Success Looks Like
- Customers trust Payscale’s compensation data and understand how to apply it to their pay decisions
- Buyers view you as a compensation expert, not a product expert
- Conversations shift from tool comp