Payscale

Revenue

SolutionsConsultant,Data&Insights

$115–172k United States FULL TIME Remote Friendly
The Brief

“Solutions Consultant, Data & Insights at Payscale. Skills: Compensation data, Benchmarking, Market pricing. Help customers understand, trust, and apply compensation data. Partner with go-to-market organization to help customers evaluate data fits”

What You'll Achieve.

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 comparisons to data confidence and decision quality; Deals close with executive alignment around compensation strategy

Industry & Context.

Revenue
Problems you'll solve

Diagnose data quality issues, coverage gaps, and confidence challenges in existing compensation approaches

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

and apply compensation data

Partner with go-to-market organization to help customers evaluate data fits

Articulate how Payscale’s compensation data supports pay outcomes

Translate expertise into clear executive-level insight

Support conversations focused on how customers price jobs

Manage internal equity and respond to market movement

Diagnose data quality issues and coverage gaps

Advise customers on appropriate data sets and market pricing strategies

Explain compensation data methodology

Help customers interpret market ranges

Compare and contextualize different compensation data approaches

Translate compensation data into narratives that resonate with stakeholders

Tie market insights to business outcomes

Help customers move from reactive pricing to proactive decisions

Partner with Account Managers

Account Executives and customer facing organization

Support the data side of deal strategy

and executive discussions

Tailor conversations to customer maturity

Support customer evaluation processes with clear

defensible data positioning

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 without oversimplifying; Translate compensation data into narratives that resonate with HR, Finance, and executive stakeholders

Free ATS check

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