Data Analyst (Remote)

Milliman • Salt Lake City, UT

14h • $40 - $74 • Remote

About The Position

Milliman’s Mountain Gulf Health Practice is seeking a Data Analyst with AI focus to join our team in a temporary role, with an opportunity to become a permanent employee depending on performance and practice need. This role offers the opportunity to work at the intersection of AI, data analytics, and healthcare consulting, supporting innovative solutions and advancing how we leverage data across our practice. The ideal candidate is technically curious, self-motivated, and eager to apply and develop their skills in a collaborative, fast-paced environment. Who We Are Independent for 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance and financial services, and property and casualty insurance. The Team Milliman’s Mountain Gulf Health Practice consists of actuarial professionals, healthcare consultants, IT, and administrative professionals. Through our manager program, all staff members are paired with a dedicated manager to help support and celebrate the growth of each staff member along their career path. What You Will Do You will contribute to the development and application of AI-driven solutions across our consulting work, with a focus on data analytics, coding, and scalable data pipelines. This role will involve working with large healthcare datasets, building and refining analytical models, and supporting the creation of clear, actionable visualizations. You will also have the opportunity to apply and expand your experience in AI and data science while gaining exposure to actuarial concepts within a consulting environment. What We Are Looking For Professional Qualifications Master’s degree in a quantitative field (e.g., artificial intelligence, data science, mathematics, statistics, economics, or similar) Experience or coursework in applied AI, machine learning, or optimization techniques Interest in applying AI within healthcare or operational settings Experience with statistical analysis languages – Python, R, SQL Experience working with data visualization tools – Power BI, Tableau Experience building or improving data process, workflows, or analytical tools Interest in developing scalable data solutions Experience working with data, including data manipulation, analysis, and interpretation At least two or more society of Actuaries exams passed Solid understanding of basic actuarial concepts Working knowledge of Microsoft Excel Personal Qualifications Strong written and verbal communication skills, including the ability to explain technical concepts clearly Strong organizational and time management skills, with the ability to manage multiple projects and deadlines Intellectual curiosity and interest in emerging technologies, with a focus on AI Problem-solving mindset with an interest in building and improving processes Entrepreneurial spirit and willingness to explore new approaches Ability to work independently and collaboratively in a team environment Client-focused and results-oriented Preferred Qualifications Former Milliman interns may be preferred candidates Master's in applied AI is preferred. Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future. To be considered for this position, please submit a cover letter and resume. Location The Mountain Gulf Health Practice operates under one management group virtually across five locations – Denver, Houston, Phoenix, Salt Lake City, and San Francisco. This is a remote position. The expected application deadline for this job is April 20, 2026. Compensation The overall range for this role is $40 - $74 per hour. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the range is $46 - $74. All other locations the range is $40 - $65. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. This is a full time, non-exempt overtime eligible role; overtime eligible after 40 hours of work (For non-exempt, hourly roles). Benefits We offer competitive benefits which include the following based on plan eligibility: Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. 401(k) Plan – When an employee reaches 1,000 hours worked within 12 consecutive months, they become eligible for a 401(k) plan that includes a company matching program and profit-sharing contributions. Paid Time Off (PTO) – Begins accruing on the first day of work; Interns, Temporary, and Seasonal Employees will earn PTO each pay period, based on 1 hour for every 30 hours worked. Transportation – Pre-tax savings for eligible transit and parking expenses. Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

Requirements

• Master’s degree in a quantitative field (e.g., artificial intelligence, data science, mathematics, statistics, economics, or similar)
• Experience or coursework in applied AI, machine learning, or optimization techniques
• Interest in applying AI within healthcare or operational settings
• Experience with statistical analysis languages – Python, R, SQL
• Experience working with data visualization tools – Power BI, Tableau
• Experience building or improving data process, workflows, or analytical tools
• Interest in developing scalable data solutions
• Experience working with data, including data manipulation, analysis, and interpretation
• At least two or more society of Actuaries exams passed
• Solid understanding of basic actuarial concepts
• Working knowledge of Microsoft Excel
• Strong written and verbal communication skills, including the ability to explain technical concepts clearly
• Strong organizational and time management skills, with the ability to manage multiple projects and deadlines
• Intellectual curiosity and interest in emerging technologies, with a focus on AI
• Problem-solving mindset with an interest in building and improving processes
• Entrepreneurial spirit and willingness to explore new approaches
• Ability to work independently and collaboratively in a team environment
• Client-focused and results-oriented

Nice To Haves

• Former Milliman interns may be preferred candidates
• Master's in applied AI is preferred.
• Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.

Responsibilities

• You will contribute to the development and application of AI-driven solutions across our consulting work, with a focus on data analytics, coding, and scalable data pipelines.
• This role will involve working with large healthcare datasets, building and refining analytical models, and supporting the creation of clear, actionable visualizations.
• You will also have the opportunity to apply and expand your experience in AI and data science while gaining exposure to actuarial concepts within a consulting environment.

Benefits

• Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
• 401(k) Plan – When an employee reaches 1,000 hours worked within 12 consecutive months, they become eligible for a 401(k) plan that includes a company matching program and profit-sharing contributions.
• Paid Time Off (PTO) – Begins accruing on the first day of work; Interns, Temporary, and Seasonal Employees will earn PTO each pay period, based on 1 hour for every 30 hours worked.
• Transportation – Pre-tax savings for eligible transit and parking expenses.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees