Insights Analyst

Insights Analyst

San Francisco, CA & New York, NY

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.

• 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.

• 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

At 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:

• P2: $115,000 - $144,000
• P3: $139,000 - $174,000

At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer:

• Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
• Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month —…