# Insights Analyst **Company**: Pave **Location**: San Francisco, CA & New York, NY **Work arrangement**: hybrid **Experience**: mid **Job type**: full-time **Salary**: Targeted cash compensation for this role **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/paveakatroveinformationtechnologies/jobs/4703200005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b77df48d-505 ## Description We're looking for an Insights Analyst to join our Data Team and help us scale our storytelling, serve our customers better, and build the measurement foundation to make smarter decisions about where we invest next. As an Insights Analyst, you'll 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. You'll also 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. Key responsibilities include evangelizing Pave's compensation community and expertise by fielding data and compensation questions from customers, prospects, and internal team members, developing a lightweight measurement framework that measures what's working across our content, and building a deep understanding of Pave's compensation dataset and translating complex findings into clear, compelling narratives for non-technical audiences. To succeed in this role, you'll need a marketing mindset, exceptional data manipulation skills, and the ability to communicate complex data insights to non-technical stakeholders. You'll also need 2+ years of experience in a Data Analyst role, ideally in a customer-facing capacity. What you'll bring: - 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 haves (but not required): - 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 Targeted cash compensation for this role: - P2: $115,000 - $144,000 - P3: $139,000 - $174,000 Benefits @ Pave: - 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 , because life doesn't pause, and neither should you - Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it - Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you - Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count - Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen Life @ Pave: - 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 - 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 - 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. ## Skills ### Required - SQL - Python - Data manipulation - Data analysis - Data storytelling - Marketing mindset ### Nice to have - Compensation and labor market data - Data tools like dbt, Hex, Claude code - Customer-facing data products --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/paveakatroveinformationtechnologies/jobs/4703200005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)