Data Analyst II (Healthcare Analytics)

Centene Corporation•St. David's, MO

1d•$56,200 - $101,000•Hybrid

About The Position

This role involves analyzing integrated and extensive datasets to extract value that directly impacts and influences business decisions. The Data Analyst II will work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce the overall cost of care for members and improve their clinical outcomes. The position requires the ability to interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data. The analyst will support the execution of large-scale projects with limited direction, identify and perform root-cause analysis of data irregularities, and present findings and proposed solutions. They will manage multiple, variable tasks and data review processes with limited supervision within targeted timelines, and support the design, testing, and implementation of process enhancements, identifying opportunities for automation. The role requires applying expertise in quantitative analysis, data mining, and data presentation to understand customer interactions with analytic products. The analyst will support multiple functions and levels of the organization, effectively communicating findings and insights to non-technical business partners both verbally and visually. They will independently engage with customers and business partners to gather requirements and validate results, and communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required. The position also includes performing other duties as assigned and complying with all policies and standards.

Requirements

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.
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.

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.
Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred.
Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired.
Experience in Finance, Actuarial Science, or Accounting preferred.
Experience using analytic techniques & tools to explore financial performance trends and/or reconciling financial data preferred.
Experience with report/dashboard development, data/report automation, self-service capabilities, data design and integration, or data quality and governance preferred
Experience in risk adjustment, clinical coding, financial reporting/analysis, or CMS/State encounters and regulatory file submissions preferred
Experience with data mining, population health, and statistical modeling preferred

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