Associate Director of Analytics

The MJ Companies

$110K — $130K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field such as Mathematics, Statistics, Data Science, or Economics
  • 7+ years of experience in analytics, including 3+ years in a leadership position
  • Proven success managing teams and delivering data-driven strategies
  • Preferred experience in health insurance analytics
  • Strong proficiency in Excel and data visualization tools like Tableau or Power BI
  • Basic knowledge of programming languages such as Python or SQL is a plus
  • Ability to present complex analyses to C-Level executives

Responsibilities

  • Lead and oversee a high-performing analytics team
  • Drive actionable insights through data modeling and statistical analysis
  • Maintain and develop client and vendor relationships for ongoing projects
  • Motivate and mentor team members to enhance their capabilities
  • Develop automated reporting systems and visualization tools
  • Analyze data trends and provide meaningful conclusions for business decisions
  • Collaborate across departments to identify opportunities through research and analysis

Benefits

  • Dynamic work environment with opportunities for professional development
  • Collaborative culture that encourages innovation and creative thinking
  • Engage directly with C-Level executives and stakeholders
  • Opportunity to lead and shape the analytics function within the organization
  • Support in obtaining necessary licenses and certifications
Full Job Description
The MJ Companies is seeking a strategic and dynamic Associate Director of Analytics to lead and oversee a high-performing analytics team. This role focuses on guiding a team of Analysts and Senior Analysts to deliver actionable insights, enhance operational processes, and develop innovative tools to meet evolving client needs. The Manager of Analytics will play a pivotal role in team development, fostering collaboration across offices, and maintaining relationships with clients and vendors. The ideal candidate thrives on leadership, has a proven track record in analytics, and excels at driving team and business success.

Essential functions
  • Familiar with modeling techniques and statistics used to recognize trends and patterns in the data, and have used this knowledge to draw meaningful conclusions and develop actionable analyses that drive business decisions
  • Extrapolates and interprets data, performs statistical analysis, forecasting, and trending while developing and leveraging actionable analyses to support key client initiatives
  • Ability to work with internal and external customers on business problems, developing and maintaining ongoing relationships, and can proactively identify new opportunities through research and analysis
  • Be outcome-oriented, self-starting, analytical thinker, able to leverage creative thinking and innovation to deal with uncertain, often messy, data and ambiguous or complex business challenges
  • Ability to present analysis and recommendations in a clear and concise manner to C-Level executives
  • Drive enhancements to existing reporting such as automation, trending, and visualization.
  • Development and automation of professional-level reports and models using a variety of visualization tools and techniques
  • Motivate, mentor, develop and direct a team of analysts

Education
  • 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)

Knowledge & Experience
  • 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.
  • Proficiency in common analytical tools and software, such as: Microsoft Excel (advanced functions like pivot tables, VLOOKUP, etc.), Data visualization tools (e.g., Tableau, Power BI),
  • Basic experience with statistical or programming languages like Python, R, or SQL is a plus.
  • Experience in problem-solving and interpreting data to draw actionable insights.

Technical Functions
  • Advanced proficiency in Excel, including macros and complex formulas.
  • Experience 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.
  • Familiarity with statistical methods and modeling techniques (e.g., regression, cluster analysis).
  • Ability to manage and enhance databases and tools for analytics and reporting.

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