What You'll Do- 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
What You'll Bring- 2+ years of experience in a data science, analytics engineering, or advanced analytics role, ideally with exposure to customer-facing or external-facing work
- SQL experience: You're comfortable writing queries (CTEs, window functions, multi-table joins) against large datasets and have a good understanding of complex queries
- Hands on experience in Python for data manipulation / charting to clean, analyze, and visualize data
- Data visualization: You have hands-on experience with a BI or notebook tool such as Tableau, Looker, Power BI, Hex, Mode, or Sigma, and you can turn analysis into clear, compelling charts
- Communication and data storytelling: You can turn a messy, open-ended question into a clear narrative for both technical and non-technical audiences, and your analyses have led to new initiatives, product features, or metric movement
- Marketing mindset: You're excited to use data for storytelling and growth, including trend reports, blog content, and external presentations, and you're willing to be a public-facing voice for our data
- Self-direction and focus on impact: You thrive with ambiguity, take a loosely defined problem from question to answer, and prioritize work that measurably improves our product and business
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or another relevant field
Nice to haves- Experience with compensation and labor market data
- Experience with data tools like dbt, Hex, Claude code
- Experience building customer-facing data products
Compensation, It's What We Do.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
Benefits @ PaveAt 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 - 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.
