Associate Director of Analytics

About the role

The Associate Director of Analytics will lead and oversee a high-performing analytics team, guiding Analysts and Senior Analysts to deliver actionable insights, enhance operational processes, and develop innovative tools to meet evolving client needs. This role focuses on team development, fostering collaboration across offices, and maintaining relationships with clients and vendors.

Responsibilities

• Apply modeling techniques and statistics to recognize trends and patterns in data, drawing meaningful conclusions and developing actionable analyses that drive business decisions.
• Extrapolate and interpret data, perform statistical analysis, forecasting, and trending to support key client initiatives.
• Work with internal and external customers on business problems, develop and maintain ongoing relationships, and proactively identify new opportunities through research and analysis.
• Leverage creative thinking and innovation to address uncertain, messy data and ambiguous or complex business challenges.
• Present analysis and recommendations clearly and concisely to C-level executives.
• Drive enhancements to existing reporting, such as automation, trending, and visualization.
• Develop and automate professional-level reports and models using a variety of visualization tools and techniques.
• Motivate, mentor, and direct a team of analysts.

Competencies

• Drives Vision + Purpose: Shapes and communicates a clear, compelling direction aligned to business goals and team capabilities.
• Cultivate Innovation: Leads with a forward-thinking mindset, championing new approaches and creative problem-solving.
• Organizational Savvy: Navigates internal systems and relationships to influence outcomes and drive departmental success.
• Negotiation Savvy: Secures buy-in and resolves complex issues through thoughtful, persuasive communication.
• Industry Insight: Anticipates market shifts and applies competitive knowledge to guide team strategy and client advisement.

Outcomes & Measures of Success

• Effectively communicates a forward-looking vision, aligning team capabilities with business goals and promoting innovative thinking.
• Builds influence across the organization by fostering strong cross-functional relationships and collaborating with key stakeholders.
• Demonstrates market and negotiation expertise by leveraging deep industry insight and guiding vendor relationships with transparency and strategy.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, Finance, Business Administration (with a focus on analytics), Computer Science, Engineering, Actuarial Science, Risk Management, or a related business discipline (preferred).
• Life & Health License (required upon hire).
• 7+ years of experience in analytics, with at least 3 years in a leadership role.
• Proven success in managing a team and delivering data-driven strategies.
• Prior experience in health insurance analytics is preferred.
• Strong track record in cross-functional collaboration and tool development.

Skills

• Advanced proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUP, macros, complex formulas).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Basic experience with statistical or programming languages like Python, R, or SQL is a plus.
• Familiarity with data mining and analytical tools (e.g., Access, SQL, SAS, SPSS, R, Python).
• Expertise in business intelligence tools (e.g., Tableau, Power BI, Qlik) for visualization and reporting.
• Knowledge of statistical methods and modeling techniques (e.g., regression, cluster analysis).
• Ability to manage and enhance databases and tools for analytics and reporting.

Physical Demands

The physical demands described are representative of those required to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

• Sitting, talking, hearing, and seeing.
• Standing, walking, stooping, lifting (up to 25 pounds).
• Grasping, reaching, pushing, pulling, and repetitive hand and arm motion.
• Fine finger manipulation in the use of a computer.