About The Position

Hagerty is a company built by drivers for drivers, dedicated to making it easier and more enjoyable for enthusiasts to drive and celebrate the machines they love. They are the world’s largest insurer of collectible and enthusiast vehicles and home to the Hagerty Drivers Club. Their business includes Marketplace for live and digital sales, driving events, concours, and award-winning automotive journalism. As Senior Manager of Partner and Agency Analytics, the individual will be responsible for delivering analytics that enable Hagerty’s B2B distribution partners and field sales teams to succeed. This role is a key member of the analytics team, developing and leading processes for data-driven strategic decision-making. The Manager leads cross-functional initiatives, drives change for agents and partners, and collaborates with IA and Partner business leaders to support company objectives. Responsibilities include overseeing agent and partner segmentation, delivering ad-hoc analytical support, and providing insights for profitable growth. The role also works closely with leadership, technology teams, and broker teams to develop solutions that improve new business performance and reduce expenses, and provides critical data capabilities, including developing and leveraging Tableau dashboards for insights.

Requirements

  • Proven experience in analytical roles, preferably supporting field sales or B2B distribution.
  • Bachelors or Master’s degree with strong quantitative/analytical focus.
  • Strong project management, cross-functional leadership, and decision-making skills.
  • Superior analytical capabilities, including the ability to link financial results to performance drivers, evaluate alternatives, and drive change.
  • Statistically methodology expertise for multivariant & correlation analysis, hypotheses testing/experiment and predictive modeling.
  • Strong SQL fluency, ability to work with large data sets and advanced queries, and either R or Python for querying, transforming, modeling, and analyzing data.
  • Experience with statistical and machine learning methods and applying them to derive actionable insights.
  • Ability to build and interpret dashboards using modern BI tools (e.g., Tableau, Power BI).
  • Excellent communication skills with the ability to outline or present complex analysis in clear and concise manner to business stakeholders.

Nice To Haves

  • Experience in insurance industry.
  • Experience with Snowflake for analytical SQL, including querying large datasets, building views, and preparing data for dashboards and models.

Responsibilities

  • Develop agent and partner segmentation models and lead ad-hoc B2B distribution analytics.
  • Provide financial analysis to support business growth and profitability initiatives.
  • Design, test, and iterate models using A/B testing and other experimental methods, and apply advanced modeling techniques to generate actionable insights.
  • Support LTV and CAC modeling, forecasting, and analysis.
  • Deliver agency performance dashboards to inform strategy, tactics, and decision-making.
  • Drive cross-functional alignment and execution of initiatives that improve agency and partner performance.
  • Apply scientific and quantitative methods to derive insights and make “insight-to-action” recommendations for B2B leaders; effectively communicate findings to non-technical audiences.
  • Leverage SQL and R or Python to perform complex analyses, build analytical models, and deliver insights that drive business decisions.
  • Design data and analytic solutions to solve ambiguous or exploratory business problems.
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