Quick Summary
running the analysis, building the narrative, and iterating fast across blogs, reports, social content, and landing pages Support Pave's data products, including Pave Data Lab and Market Data,
At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
Data is truly at the heart of what we do here at Pave.
So, it’s no surprise that Pave data team members are integral collaborators and strategic owners with company-wide impact, enabling us to build a stellar product experience.
The Insights pod is the team that turns Pave’s one-of-a-kind real-time compensation dataset into stories: research reports, market indices, content campaigns, and data products that shape how the market thinks about pay.
We're looking for a Data Analyst to join this pod and help us scale our storytelling, serve our customers better, and build the measurement foundation to make smarter decisions about where we invest next.
Responsibilities
~1 min read- →Partner with Marketing to take data stories from brief to published asset: running the analysis, building the narrative, and iterating fast across blogs, reports, social content, and landing pages
- →Support Pave's data products, including Pave Data Lab and Market Data, with research, analysis, and special projects that keep our content fresh and differentiated
- →Evangelize Pave's compensation community and expertise by fielding data and compensation questions from customers, prospects and internal team members
- →Develop a lightweight measurement framework that measures what's working across our content
- →Build a deep understanding of Pave's compensation dataset and translate complex findings into clear, compelling narratives for non-technical audiences
- Marketing Mindset: You’ve been a core contributor in using data or metrics for marketing, storytelling, and growth
- Communication and Data Storytelling: Your analyses regularly result in new initiatives, product features, and metrics movement.
- Focus on Impact: You prioritize work that will make our product measurably better and our business measurably stronger.
- 2+ years of experience in a Data Analyst role, ideally in a customer-facing capacity.
- Exceptional data manipulation skills with a proficiency in SQL and python.
Nice to Have
~1 min read- Experience with compensation and labor market data (or willingness to learn)
- Experience with data tools like dbt, Hex, Claude code
- Experience building customer-facing data products
What We Offer
~2 min readAt Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.
Targeted cash compensation for this role:
Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.
We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together.
Our culture is shaped by five values we live every day:
- Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard.
- Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
- Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other.
- One Team — We win and lose together. Titles don't drive decisions here — shared goals do.
- Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter.
Our Vision: Unlock a labor market built on trust.
Our Mission: Build confidence in every compensation decision.
We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.
Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.
Location & Eligibility
Listing Details
- Posted
- June 4, 2026
- First seen
- June 4, 2026
- Last seen
- June 5, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- June 4, 2026
Signal breakdown
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