Drive strategic data projects end-to-end, building models and metrics that shape go-to-market strategy and operations. Requires 4+ years analytics experience or advanced quantitative degree, strong SQL/Python skills, and ability to work directly with leadership on high-impact business decisions.
170k – 275k
On-site4+ YOEData Science
About the role
Responsibilities
Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes
Source and use industry and market data to shape go-to-market and growth strategy
Leverage internal workflow data to predict operational throughput, bottlenecks, and prioritize workflow automations
Prototype new modeling approaches to AI problems (outcome prediction and optimization for insurance-related processes) in collaboration with Engineering
Build out a unified user interaction model to define consumer and provider product roadmaps
Create and rapidly iterate on externally facing data products for key partners and participate in priority client engagements
Establish core data sources and metrics to empower real-time business insights
Work directly with CEO and leadership team on business decisions balancing growth and profitability
Requirements
Ability to bring clarity to ambiguous problems and lead projects with major strategic/business impact
Advanced degree in a quantitative field or 4+ years of work experience in an analytics-heavy, business-focused role
Strong technical background with exceptional ability to do data analysis using SQL and Python
Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods
Strong written and verbal communication skills
Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
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