2+ years of experience in a Data Analyst role, ideally customer-facing
Exceptional data manipulation skills with proficiency in SQL and Python
Marketing mindset focused on data-driven storytelling and growth
Strong communication skills for effective data storytelling
Prioritizes impactful work that improves products and business metrics
Responsibilities
Partner with Marketing to turn data stories into published content
Support Pave's data products with research and analysis
Field data and compensation queries from customers and internal teams
Develop a framework to measure content performance
Translate complex data findings into clear narratives for non-technical audiences
Benefits
Comprehensive medical, dental, and vision coverage for employees and families
Flexible PTO and the ability to work remotely for up to a month
Lunch and dinner stipends plus stocked kitchens
Quarterly education stipend for skill development
Robust parental leave policy
Commuter stipend for in-person collaboration support
Full Job Description
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
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
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 @ Pave
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 - 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.
About Pave
Pave is a financial technology company that provides loans to consumers. The company was founded in 2012 and is headquartered in New York City. Pave offers personal loans to borrowers with limited credit histories or who may not qualify for traditional bank loans. The company uses a proprietary algorithm to assess creditworthiness and determine loan terms. Pave's loans are funded by institutional investors and are available to borrowers in 34 states. Pave was acquired by Cross River Bank in 2019.
