Insights Analyst
Partner with Marketing to analyze data, build narratives, and create content across blogs, reports, and landing pages. Requires 2+ years as a Data Analyst with strong SQL/Python skills and customer-facing experience.
About the job
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
- 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
Targeted cash compensation for this role:
- P2: $115,000 - $144,000
- P3: $139,000 - $174,000
Benefits
- Comprehensive medical, dental, and vision coverage for you and your family
- Flexible PTO and the freedom to work from anywhere in the world for up to a month
- Lunch and dinner stipends plus fully stocked kitchens
- Quarterly education stipend
- Robust parental leave
- Commuter stipend
Skills
SQL, Python, Data Analysis, Data Storytelling, Marketing Analytics, dbt, Hex
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