Decision Science Analyst III
Say hello to Hagerty Hagerty is a company built by drivers for drivers. We put our members at the center of everything we do and are dedicated to making it easier and more enjoyable for enthusiasts to drive and celebrate the machines they love. We’re proud to be the world’s largest insurer of collectible and enthusiast vehicles and are home to the Hagerty Drivers Club, the world’s largest car club. Our Marketplace business presents live and digital sales across the U.S. and Europe, we host a number of driving events and concours, and our award-winning automotive journalists produce the most popular car magazine globally, alongside internationally awarded videos. We’re committed to Never Stop Driving. Ready to get in the driver’s seat? Join us! As a Decision Science Analyst III who is an analytically rigorous, business-curious analyst you will join our Customer Analytics team. You'll sit at the intersection of data science, product intelligence, and business strategy: mapping how customers discover, adopt, and stay with our subscription and property & casualty insurance products. Your work will shape retention strategy, pricing decisions, and personalized customer experiences across the full lifecycle. Emphasis placed on intellectual curiosity and honesty, willingness to experiment and cultivate relationships with contributors occupying different functional roles, strategic thought, communication skills and the ability to articulate complex relationships to business leaders. A background in subscription-based services or auto insurance a plus. What you’ll do Data Design & Business Intelligence 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) Journey & Lifecycle Analytics 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 LTV, Product & Pricing Analytics 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 Personalization & Recommendations 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 This might describe you 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. Other things to note 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. Familiarity with public company requirements, including Sarbanes Oxley and key regulations, if applicable. For SOX compliant roles, responsible for designing, executing, and documenting internal controls where they have been identified as owners to prevent errors in financial reporting, processes, and business operations. Including attestation to the completeness, accuracy, and compliance of all financial reporting data, where applicable. If you reside in the following jurisdictions: Illinois, Colorado, California, District of Columbia, Hawaii, Maryland, Minnesota, Nevada, New York, or Jersey City, New Jersey, Cincinnati or Toledo, Ohio, Rhode Island, Washington, British Columbia, Canada please email [email protected] for compensation, comprehensive benefits and the perks that set us apart. At Hagerty, we share the road. We are an inclusive automotive community where all are welcomed, valued and belong regardless of race, gender, age, or car preference. We are united by our shared passion for driving, our commitment to preserve car culture for future generations and our desire to make a positive impact in the world. #LI-Remote / #LI-Hybrid / #LI-Onsite EEO/AA US Benefits Overview Canada Benefits Overview UK Benefits Overview If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Apply To This Job