Note: The job is a remote job and is open to candidates in USA. Hagerty is a company dedicated to drivers and is the largest insurer of collectible vehicles. The Decision Science Analyst III will join the Customer Analytics team to analyze customer behavior and improve retention strategies for subscription and insurance products.
Responsibilities
- Design and document data models using dbt in Snowflake that support business intelligence, analysis, model development and journey reporting at scale
- Build and maintain Tableau dashboards tracking KPIs across acquisition, engagement, and retention
- Contribute to identity resolution frameworks using customer data platforms
- Establish data definitions and governance standards for customer-level metrics
- Partner with data engineering to ensure analytical data assets are accurate and production-ready
- Partner with data scientists to develop datasets in furtherance of statistical model development (eg: identification of dependent and candidate independent variables, exploratory analysis of relationships with increasing mathematical abstraction)
- Map customer journeys across subscription and P&C insurance products
- Build and maintain survival and churn analyses to quantify retention risk at each lifecycle stage, eg: time-to-event analysis or hazard estimates
- Develop data resources for propensity models to support cross-sell, upsell, renewal, and lapse prediction
- Conduct engagement analyses to identify and describe behavioral signals tied to conversion and retention
- Design and evaluate A/B and multivariate tests across product, sales and marketing touchpoints
- Support pricing analysis for subscription types and auto insurance products, quantifying elasticity of demand and competitive positioning
- Analyze product feature adoption and product usage to inform roadmap prioritization. Experience managing these in multi-channel contexts is desirable
- Propose segmentations that explain differentiated product use patterns, price-taking behaviors and cohort-level retention/migration
- Partner with product and strategy teams on risk-adjusted retention and LTV frameworks
- Develop recommendation logic for next-best-action, next-best-product, and content personalization
- Collaborate with customer journey and customer experience teams to operationalize segmentation and triggers in the Customer Data Platform
- Measure lift and incrementality of personalization initiatives
- Surface customer insights that inform omnichannel communication strategies
Skills
- A BA degree in a quantitative field or at least five years' experience in analytically rigorous data projects, advanced degrees a plus
- Employed in P&C insurance, financial technology, or a subscription business
- Experience applying analytics to business intelligence, customer journey /customer experience analytics and statistical model development
- Experience with SQL, Snowflake, dbt and Tableau are a must
- Experience with Python, SAS, SPSS, Stata or R are nice-to-haves
- Experience managing product feature adoption and product usage in multi-channel contexts is desirable
Benefits
- Comprehensive benefits and the perks that set us apart
- US Benefits Overview
- Canada Benefits Overview
- UK Benefits Overview
- This position is open to U.S. remote work. However, team members who reside within 20 miles of the Traverse City headquarters will follow a hybrid schedule, working from the office three days per week.
- May require travel for quarterly events.
Company Overview