Senior Manager of Partner & Agency Analytics
WFA Digital Insight
As the demand for data-driven decision-making in the insurance industry continues to soar, with a reported 27% increase in analytics adoption in 2025, specialists who can bridge the gap between data insights and business growth are in high demand. Hagerty, a leading insurer of collectible and enthusiast vehicles, is seeking a Senior Manager of Partner & Agency Analytics to lead this charge. With a strong foundation in Excel and analytical expertise, this role is perfect for candidates looking to leverage their skills to drive measurable results. Before applying, candidates should be aware that this role requires a unique blend of technical skills, business acumen, and cross-functional leadership abilities.
Job Description
About the Role
The Senior Manager of Partner & Agency Analytics plays a critical role in Hagerty's success, responsible for delivering analytics that enable the company's B2B distribution partners and field sales teams to succeed. This position is a key member of the analytics team, leading processes that enable data-driven strategic decision-making across the business. The ideal candidate will have a proven track record of driving measurable results through analytical insights.As part of the analytics team, the Senior Manager will work closely with cross-functional teams, including sales, marketing, and product, to identify opportunities for growth and improvement. The role involves developing and leading analytical initiatives that drive business outcomes, collaborating with stakeholders to design and implement solutions, and providing data-driven insights to inform strategic decisions.
The Senior Manager will also be responsible for overseeing agent and partner segmentation, delivering ad-hoc analytical support, and providing insights that contribute to profitable growth. This involves working closely with leadership, technology teams, and broker teams to develop solutions that improve new business performance and reduce expenses.
What You Will 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
- 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 We Are Looking For
- Proven experience in analytical roles, preferably supporting field sales or B2B distribution
- Bachelor's or Master's degree with a 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
- 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
- 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 a clear and concise manner
Nice to Have
- Experience in the insurance industry
- Experience with Snowflake for analytical SQL, including querying large datasets
- Knowledge of data visualization tools and techniques
- Certification in analytics or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading company in the insurance industry
- Collaborative and dynamic work environment
- Professional development opportunities
- Flexible working hours and remote work options
- Access to the latest tools and technologies
- Recognition and reward for outstanding performance
- Comprehensive health insurance and wellness programs
- Generous paid time off and holiday allowance
- Retirement savings plan and matching program
How to Stand Out
- Tip: Make sure to highlight your experience with Excel and analytical tools in your application, as these skills are essential for the role.
- Be prepared to discuss specific examples of how you have driven data-driven decision-making in previous roles.
- Showcase your ability to communicate complex analytical insights to non-technical stakeholders.
- Demonstrate your knowledge of statistical and machine learning methods and how you have applied them in previous roles.
- Consider including a portfolio of your work, such as dashboards or reports you have created, to demonstrate your analytical and presentation skills.
- Be prepared to discuss your experience working with cross-functional teams and driving business outcomes through analytical insights.
- Research the company and the role thoroughly, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
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