Job Description

In this critical role, you will be responsible for leading and developing a team of analysts and data science professionals to support Wellmark’s corporate strategic initiatives and ultimately drive decisions. Manage the design and delivery of evidence-based recommendations to solve problems and increase efficiency, productivity, and improve outcomes. Ensure that models, data, and integrated solutions are provided to internal stakeholders, key decision makers and/or leadership across the organization.

Qualifications

Required:

For consideration, you must meet one of the following educational/technical requirements:

• Master’s degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics, and 2 year of applicable work experience - OR
• Bachelor’s Degree in related field (preferred STEM or quantitative discipline (e.g. Finance, Accounting)), and 4 years direct and applicable work experience, OR
• 8 years of direct and applicable work experience

With specific experience in the following:

• Demonstrated experience in analytical or strategic role, including:
  • Leadership skills gained through a combination of formal, informal, or project leadership that demonstrates competencies
  • Demonstrated problem solving and consultative analytics experience, including proactively engaging with business stakeholders to solve business problems
  • Critical thinking skills, including demonstrated experience reviewing and synthesizing business information for the purpose of deriving and delivering relevant insights and recommendations resulting in data enabled decisions
• Effective communication skills, both verbal and written, with the capability to gather information and synthesize key points, to all levels of the organization
• Proactive self-starter with effective time management skills and the ability to organize and prioritize projects or tasks. Ability to manage timelines and competing priorities. Strong attention to detail

Preferred:

• Advanced Degree in a related field including such as Statistics, Biochemistry, Epidemiology, Data Science or other STEM discipline
• Health insurance industry experience
• Fluency with at least one statistical programming software and language (e.g., R, SAS, Python, Java, etc.)
• Demonstrated experience with inferential, statistical, supervised and/or unsupervised modeling, regression analysis, time-series, optimization and simulation
• Experience with database and data warehousing concepts
• Proficiency with advanced data processing, preparation and joins
• Application of advanced analytics (e.g. statistical modeling, voice/text analytics, machine learning)
• Six Sigma or other lean methodology experience