Hagerty

Decision Science Analyst III

Hagerty$80K — $110K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BA degree in a quantitative field or 5+ years in data analytics, advanced degrees preferred
  • Experience in P&C insurance, fintech, or subscription businesses
  • Proficiency in business intelligence and customer journey analytics
  • Expertise in SQL, Snowflake, dbt, and Tableau required
  • Familiarity with Python, SAS, SPSS, Stata, or R is a bonus

Responsibilities

  • Design and document data models in dbt and Snowflake for business intelligence
  • Build and maintain Tableau dashboards for tracking key performance indicators
  • Collaborate on identity resolution frameworks using customer data platforms
  • Establish data definitions for customer metrics and governance standards
  • Map customer journeys and analyze retention risk through lifecycle stages
  • Support pricing analysis for subscription types and auto insurance products
  • Develop recommendation logic for personalized customer interactions

Benefits

  • Open to U.S. remote work with a hybrid option for nearby residents
  • Possible travel for quarterly team events
  • Follows Sarbanes Oxley requirements for financial reporting
  • Access to comprehensive benefits and perks specific to location
Full Job Description
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.

#LI-Remote / #LI-Hybrid / #LI-Onsite

About Hagerty

Hagerty is an insurance company that specializes in classic car insurance. The company was founded in 1984 and is headquartered in Traverse City, Michigan. Hagerty offers insurance policies for classic cars, trucks, motorcycles, boats, and other vehicles. The company also provides valuation tools, educational resources, and other services for classic car enthusiasts. Hagerty has a team of experienced agents who are knowledgeable about classic cars and can help customers find the right insurance coverage for their needs. The company is committed to preserving and promoting the classic car hobby.
Learn more about Hagerty
Size
1,000 employees
Market Cap
$2.6 billion
Industry
NASDAQ

Similar Jobs

More Jobs at Hagerty

More Finance & Insurance Jobs

Find similar Decision Science Analyst III jobs: