Data Analyst Consultant - Insurance Compliance Data (Real Estate/Construction) - 3-Month Contract

Budget: $1,400/month | Commitment: 40 hrs/week | Duration: 3 months (possible extension) | Location: Brazil, remote, must overlap with U.S. business hours We're a vertical AI company helping real estate and construction firms manage insurance risk and compliance - working across 2.5B+ square feet of properties and projects. We're building a data-backed industry report using our own proprietary compliance data, and we need an experienced analyst to help us find the real, defensible story inside it. This isn't about making charts look nice - it's about figuring out what our data can credibly prove about how insurance compliance actually breaks down at scale, where the risk hides, and where AI helps vs. where human judgment still wins. What You’ll Do - Deliver a prioritized list of report insights that are feasible using Jones' proprietary data, including rationale for prioritization. - Work hands-on with complex, real-world operational data – including gaps, inconsistencies, and evolving definitions – applying sound judgement to clean and structure it for analysis, flagging any issues that could affect validity. - Develop structured, repeatable methods for processing and analyzing data. - Produce clean, analysis- and chart-ready data outputs (tables, aggregates, etc.). - Document methodology, data provenance, cleaning rules, assumptions, limitations, and required caveats for all analyses. - Collaborate closely with Jones' insurance specialists to validate that data interpretations match real-world compliance behavior and operational workflows. - Partner cross-functionally with Marketing, Product, and Operations, responding to ad hoc requests for specific data cuts and insights. - Help shape decisions about what's ready to share publicly, balancing business impact with analytical rigor. Who You Are - 2+ years of data analysis experience, with strong SQL skills. - Experience working with SaaS, product, customer, or operations data. - Skilled at cleaning messy or incomplete datasets without losing analytical rigor. - Strong judgment in metric design, able to turn ambiguous questions into clear analysis. - Experience producing external-facing benchmarks or data-backed thought leadership - Excellent written and spoken English; can explain technical findings to non-technical teams. - Strong documentation habits. - Comfortable challenging assumptions when data doesn't support the desired narrative. - Available 40 hrs/week during U.S. business hours. Why Work With Us - Real ownership over a high-visibility deliverable, not busywork - Direct collaboration with experienced leaders - Fast-moving, lean startup environment with room to shape process, not just execute it - Potential to extend into a longer-term engagement based on performance