DESIRED SKILLS AND EXPERIENCE
+ 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 graphs and charts
+ Recognize trends and patterns in the data and use this knowledge to help draw meaningful conclusions that drive business decisions
+ Enjoy working with external customers and team members on business problems, developing and maintaining ongoing relationships, and can help identify new opportunities through research and analysis
+ Thrives in a culture of innovation and never settling with the status quo
TECHNICAL FUNCTIONS
+ Solid verbal and written communication skills, ability to prepare clear and concise documents
+ Understanding of analytics and root cause analysis with ability to communicate drivers
+ Proficient in Microsoft Office Products (Excel, Word, and PowerPoint)
+ Experience with data mining and analytic tools (e.g. Access, SQL, SAS, SPSS, R, etc.)
+ Experience with relevant business intelligence tools (PowerBI or Tableau) commonly used to organize and visualize large data sets
+ Familiar with modeling techniques and statistics (e.g. regression, cluster analysis, etc.)
REQUIRED EDUCATION/CERTIFICATION
+ Pursuing a Bachelor’s degree, preferably in a related field of study (e.g., Analytics, Actuarial Science, Statistics, Mathematics, Risk Management, Finance, Business, Computer Science, etc)
JOB LOCATION
+ Phoenix, Arizona (onsite)
ADDITIONAL DETAILS
+ Summer 2026 Internship (May-August)
+ Full-time (37.5 hours per week)
+ Competitively Paid
Skills Required
- Pursuing a Bachelor's degree
- Degree preferably in Analytics, Actuarial Science, Statistics, Mathematics, Risk Management, Finance, Business, Computer Science, or a related field
- Strong verbal and written communication skills
- Ability to prepare clear and concise documents
- Understanding of analytics and root cause analysis
- Proficiency in Microsoft Excel, Word, and PowerPoint
- Experience with data mining and analytic tools such as Access, SQL, SAS, SPSS, or R
- Experience with business intelligence tools such as Power BI or Tableau
- Familiarity with modeling techniques and statistics, including regression and cluster analysis
- Ability to analyze data, recognize trends, and draw meaningful conclusions
- Ability to work with customers and team members on business problems
What We Do
The MJ Companies exists to inspire the success, fulfillment, and wellbeing of each person it serves: associates and their families, business partners, clients, and the community.
