Data Analyst II Healthcare Analytics

Centene Corporation•St. David's, MO

1d•$56,200 - $101,000•Remote

About The Position

Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes. At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday.

Requirements

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.
Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
2+ years of experience working with large databases, data verification, and data management, or 1+ years IT experience.
Working knowledge of SQL/query languages.

Nice To Haves

Healthcare analytics experience preferred.
Preferred knowledge of programmatic coding languages such as Python and R.
Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred.
Preferred knowledge of modern business intelligence and visualization tools.

Responsibilities

Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data.
Support execution of large-scale projects with limited direction from leadership.
Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers.
Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines.
Support the design, testing, and implementation of process enhancements and identify opportunities for automation.
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products.
Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners.
Independently engage with customers and business partners to gather requirements and validate results.
Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required.
Performs other duties as assigned.
Complies with all policies and standards.