Data Science Associate
Posted 8 Jul 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
- Visa sponsorship
- Not offered
No salary listed for this role.
Field of studyAccounting, Computer Science, Economics, Engineering, Finance, Mathematics, Statistics
Study levelBachelor's
Study levelMaster's
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!
Learn more about our unique benefit offerings here.
Want to know more? You can learn about life at Wellmark here.
Job Description
Responsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals. Collaborate with team and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains. Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.
Qualifications
Required:
- For consideration, you must meet one of the following educational/technical requirements:
- Bachelor’s degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
- Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation. Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
- Strong formulas and data visualizations knowledge.
- Exposure to business intelligence or analysis platforms.
- Naturally curious and ability to drive business decisions and solutions.
- Effective communication skills, both verbal and written, with the ability to present complex information.
- Proactive, self-starter and can manage priorities through effective time management skills.
Preferred:
- Master’s degree.
- Experience working with unstructured data sets.
- Experience developing project roadmaps and timelines.