Insights Analyst

Pave•San Francisco, NY

1d•Hybrid

About The Position

Pave is seeking an Insights Analyst to join their Data Team, specifically within the Insights pod. This team transforms Pave's unique real-time compensation dataset into valuable assets like research reports, market indices, content campaigns, and data products. The role involves scaling storytelling, improving customer service, and building a foundation for data-driven decisions. The Insights Analyst will partner with Marketing to develop data stories from concept to publication, support Pave's data products (Pave Data Lab and Market Data), act as a point of contact for data and compensation inquiries, develop a measurement framework for content effectiveness, and translate complex data findings into clear narratives for a non-technical audience.

Requirements

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

Responsibilities

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