FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Solutions Consultant, Data & Insights
PayscaleSolutions Consultant leveraging compensation data for insightful business decisions at Payscale. Helping customers understand and apply compensation data effectively to achieve equitable pay outcomes.
Posted 5/26/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $114,960 - $172,440 per yearWebsite
About the role
Key responsibilities & impact- 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
- 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)
- 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
- 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
Requirements
What you’ll need- 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
- Background in compensation surveys, consulting firms, or labor market analytics (Nice to Have)
- Familiarity with statistical concepts related to market data (percentiles, distributions, aging) (Nice to Have)
- Experience supporting enterprise-level compensation programs (Nice to Have)
- Prior exposure to pre-sales or customer-facing advisory roles (Nice to Have)
Benefits
Comp & perks- Flexible paid time off, giving you the opportunity to rest, relax and recharge away from work
- 14 Paid Company Holidays, includes 2 floating holidays (you choose!)
- A comprehensive benefits plan including medical, dental, life, vision, disability, and life insurance covered up to 100% by Payscale
- Unlimited infertility coverage benefits through our medical plans
- Additional supplemental health benefits offered to you and your family
- 401(k) retirement program with a fully vested immediate company match
- 16 weeks of paid parental leave for birthing and non-birthing parents
- Health Savings Account (HSA) options and company contributions each pay period
- Flexible Spending Account (FSA) options for pre-tax employee allocations
- Annual remote work stipend to be used on wellness or home office equipment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
compensation benchmarkingjob pricingmarket data interpretationsurvey analyticsdata-driven advisorystatistical conceptscompensation surveysenterprise-level compensation programs
Soft Skills
communicationinfluencing decisionsengaging with senior leadersexplaining data conceptstailoring conversationssupporting customer evaluation processes