Team Leader - Business Analysis

Company Description

Why Wellmark? 

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we’ve built our reputation on over 80 years’ worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors–our members. If you’re passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today! 

Why Wellmark Technology? Wellmark is building innovative, modern solutions using cutting edge technology. We are driving organizational transformation and business strategy by empowering our technology team to innovate new and elegant solutions to enhance the customer experience. Together, we are leaning into the future, owning the outcome, and driving organizational change to transform how we work.

Learn more about our unique benefit offerings here. 

Want to know more? You can learn about life at Wellmark here.

Job Description

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 along 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 analysis 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

Additional Information

Job Responsibilities 

a. Proactively consult and communicate the art of the possible with key departments and stakeholders on an ongoing basis to solve complex business problems, identify opportunities for optimization, initiate process improvement strategies, and provide expertise for projects, reporting, and problem-solving analysis. 

b. Guide/lead/train team on consultative problem solving using the following steps: problem definition, disaggregating problem into branches, prioritizing most critical branches, workplan development, analyzing, synthesizing, and then communicating.

c. Utilize and coach others in the use of problem-solving analysis and data science methods/best practices to enable solutions