Senior Analyst

About the job 

The MJ Companies is seeking a highly skilled and strategic Senior Analyst to join our team. This role is critical in driving advanced analytics initiatives, managing client relationships, and enhancing tools and processes to support organizational goals. The Senior Analyst will take a leadership role in tool development, team training, and oversight of complex client needs while delivering actionable insights to inform business decisions. The ideal candidate will have a strong technical background, problem-solving expertise, and the ability to manage multiple priorities with minimal supervision. 

Essential Functions 

• An outcome-oriented, analytical thinker, who can work closely with analytics team to create innovative solutions to deal with uncertain data and ambiguous business challenges   

• Extrapolates and validates data, produces reports, including the development of professional-level visualization for clients  

• 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  

• Enjoy working with internal and external customers on business problems, developing and maintaining ongoing relationships and can proactively identify new opportunities through research and analysis   

• Assists in the development and maintenance of the data architecture and model to provide a foundation for database design that supports Employee Benefits needs   


• Thrives in a culture of innovation and never settling with the status quo  

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 

• 4-6 years of related experience (internships, co-op programs, or part-time roles in analytics, data analysis, or related fields can be counted). 

• 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.