Senior Manager of Partner and Agency Analytics

Hagerty

9d • Remote

About The Position

As Senior Manager of Partner and Agency Analytics, you will be responsible for delivering analytics that enable Hagerty’s B2B distribution partners and field sales teams to succeed. This position is a key member of the analytics team and is responsible for developing and leading processes that enable data-driven strategic decision-making across the business. Candidates should have a proven track record of driving measurable results. The Manager leads cross-functional initiatives and drives change for agents and partners collaborating 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 that contribute to 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. In addition, this position provides critical data capabilities, including developing and leveraging Tableau dashboards for insights. Ready to get in the driver’s seat? Join us! What you’ll do 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. This might describe you 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees