Job Details

Associate Analyst, Employee Benefits

The MJ Companies is seeking a motivated and curious Associate Analyst to join our growing analytics team. This entry-level role is designed to build foundational skills in data analysis, visualization, and business problem-solving. As a training role for the Analyst position, the Associate Analyst will support internal teams and clients by assisting in the development of data-driven insights and solutions. This is an excellent opportunity for someone eager to learn, grow, and contribute to innovative employee benefits strategies in a collaborative environment.

Essential functions:

• Data Preparation & Validation: Assist in collecting, cleaning, and validating data to ensure accuracy, consistency, and readiness for analysis.
• Reporting & Visualization: Support the creation of reports and visualizations that effectively communicate insights to internal teams and clients.
• Analytical Development: Learn and apply foundational statistical and modeling techniques to identify trends, patterns, and drivers of business outcomes.
• Client & Team Collaboration: Participate in discussions with internal and external stakeholders to understand business challenges and contribute to data-informed solutions.
• Data Architecture Support: Help maintain and enhance data models and architecture that support analytics and reporting needs within Employee Benefits.
• Innovation & Continuous Improvement: Demonstrate curiosity, adaptability, and a commitment to learning new tools and approaches that improve processes and outcomes.

Education:

• Bachelor's degree in Mathematics, Statistics, Data Science, Economics, Finance, Business Administration (with a focus on analytics), Actuarial Science, Risk Management, or a related business discipline (preferred)
• Ability to obtain Life & Health License upon hire

Knowledge & Experience:

• Relevant experience (internship, co-op programs, academic projects) in analytics, data analysis, or related fields can be counted.
• Proficiency in Microsoft Excel (pivot tables, formulas, etc.).
• Exposure to data visualization tools (e.g., Tableau, Power BI).
• Basic experience with analytical tools or programming languages (e.g., SQL, Python, R) is a plus.
• Understanding of root cause analysis and ability to communicate findings clearly.

Technical functions:

• Strong verbal and written communication skills.
• Familiarity with data mining and analytic tools (e.g., Access, SQL, SAS, SPSS, R).
• Exposure to business intelligence platforms (e.g., Tableau, Power BI, Qlik).
• Basic understanding of modeling techniques and statistics (e.g., regression, clustering).