Payscale
Revenue
SolutionsConsultant,Data&Insights
Neural analysis suggests this role is
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“Solutions Consultant, Data & Insights at Payscale. Skills: Compensation Data, Market Pricing, Data Interpretation. Help customers understand compensation data. Partner with go-to-market organization”
What You'll Achieve.
Customers trust Payscale’s compensation data; Buyers view you as a compensation expert; Conversations shift from tool comparisons to data confidence; Deals close with executive alignment
Industry & Context.
Diagnose data quality issues, coverage gaps, and confidence challenges
What They're Looking For.
Must Have
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, 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 You'll Do.
Help customers understand compensation data
Partner with go-to-market organization
Help customers evaluate data fits
Articulate how Payscale data supports outcomes
Support compensation advisory conversations
Diagnose data quality issues
Advise customers on data sets
Explain compensation data methodology
Help customers interpret market ranges
Compare compensation data approaches
Translate data into narratives
Tie market insights to business outcomes
Help customers move to proactive decisions
Partner with account managers
Support data side of deal strategy
Tailor conversations to customer maturity
Support customer evaluation processes
How You'll Work.
Team & Collaboration
Partner with our go-to-market organization; Partner with Account Managers, Account Executives and our Customer facing organization
Communication Scope
Ability to explain data concepts to non-technical audiences
Full Job Description
ABOUT PAYSCALE Payscale is the original compensation innovator for organizations who want to scale their business with pay and transform their largest investment into their greatest advantage. With decades of innovation in sourcing reputable data and developing AI-powered tools, Payscale delivers actionable insights that turn pay from a cost to a catalyst. Its suite of solutions — Payfactors, Marketpay, and Paycycle — empower top companies in the U.S. and businesses like Cintas, Leidos, Chipotle, Brookdale Senior Living, Ohio State University, American Airlines, 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 co
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