Insights Analyst

About Pave

Pave is creating a leading compensation platform powered by the world’s largest live compensation dataset, paired with strong AI and machine learning expertise. The company helps more than 8,500 organizations make confident pay decisions, including well-known names such as OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo. Pave manages over $190 billion in total compensation spend through its workflows, and 70% of the Forbes AI 50 rely on it for compensation benchmarking.

The company is backed by $160M in funding from investors including Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.

About the Data Team

Data sits at the center of Pave’s work. Team members play a cross-functional role and help shape the product experience and business direction. Within the data organization, the Insights pod converts Pave’s real-time compensation dataset into research reports, market indices, content campaigns, and data products that influence how the market understands pay.

This role is focused on helping scale data storytelling, improving support for customers, and creating a stronger measurement foundation so the business can make better investment decisions.

What You’ll Do

• Work closely with the marketing team to move data-driven ideas from brief to finished content, including analysis, narrative development, and rapid iteration across blogs, reports, social assets, and landing pages.
• Assist with Pave’s data products such as Pave Data Lab and Market Data through research, analysis, and one-off projects that keep the content differentiated and current.
• Serve as a knowledgeable point of contact for data and compensation questions from customers, prospects, and internal stakeholders.
• Create a practical measurement framework to understand which content efforts are performing well.
• Build strong expertise in Pave’s compensation dataset and turn complex findings into clear stories for audiences without technical backgrounds.

What You’ll Bring

• A marketing-oriented approach, with experience using data or metrics to support storytelling, growth, or marketing initiatives.
• Strong data storytelling and communication skills, with a track record of analyses that lead to new initiatives, product improvements, or measurable movement in key metrics.
• A bias toward impact, with the ability to focus on work that improves the product and strengthens the business.
• At least 2 years of experience as a Data Analyst, ideally in a customer-facing environment.
• Advanced data manipulation ability, including proficiency in SQL and Python.

Preferred Experience

• Exposure to compensation or labor market data, or a willingness to develop expertise in this area.
• Familiarity with data tools such as dbt, Hex, or Claude code.
• Experience creating customer-facing data products.

Compensation and Rewards

Pave offers a total rewards package that includes meaningful equity, strong medical, dental, and vision coverage, unlimited PTO, and region-specific benefits. Compensation is determined based on experience and interview performance, and the team is happy to discuss leveling in more detail.

Targeted cash compensation for this position is:

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

Benefits

• Comprehensive medical, dental, and vision coverage for employees and their families.
• Flexible PTO plus the ability to work from anywhere in the world for up to one month.
• Lunch and dinner stipends, along with fully stocked kitchens.
• A quarterly education stipend for continued learning and skill development.
• Robust parental leave support.
• A commuter stipend to support onsite collaboration.

Life at Pave

Founded in 2019, Pave has grown into a global compensation management company with hubs in San Francisco, New York City, Salt Lake City, Kraków, and the United Kingdom. The company follows a hybrid culture, bringing teams together in person 3 to 4 days a week, and the full company meets every Friday for Team Sync, which includes breakfast, new hire welcomes, product updates, fireside chats, and team activities.

Pave’s culture is guided by five values: Be Intellectually Honest, Play to Win, Uphold the Pave Platinum Standard, One Team, and Hug of Jawn.

Vision and Mission

Vision: Build a labor market grounded in trust.

Mission: Create confidence in every compensation decision.

Additional Information

Strong candidates who are excited about the mission are encouraged to apply.