This job has closed.

Centene Corporation · 2 days ago

Data Analyst III Python, R, SAS

United States

Full-time

Remote

Mid Level

$70K/yr - $126K/yr

4+ years exp

Centene Corporation is transforming the health of communities, aiming to impact the lives of 28 million members. The Data Analyst III will analyze extensive datasets to extract insights that influence business decisions and improve clinical outcomes, working collaboratively with stakeholders to develop solutions.

Hospital & Health Care

No H1B

Responsibilities

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

Interpret and analyze data from multiple sources including claims, provider, member, and encounters data

Identify and assess the business impact of trends

Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools

Contribute to the planning and execution of large-scale projects with limited direction from leadership

Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation

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 and thrive in a demanding, quickly changing environment

Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks

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

Partner cross-functionally at all 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

Provide technical guidance to junior analysts

Qualification

SQLPythonRData analysisHealthcare analyticsData miningCommunication skillsProblem-solvingTeam collaboration

Required

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience

4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience

Working knowledge of SQL/querying languages

Ability to analyze integrated and extensive datasets to extract value

Ability to interpret and analyze data from multiple sources including claims, provider, member, and encounters data

Ability to identify and assess the business impact of trends

Ability to develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools

Ability to contribute to the planning and execution of large-scale projects with limited direction from leadership

Ability to assist in the design, testing, and implementation of process enhancements and identify opportunities for automation

Ability to identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers

Ability to manage multiple, variable tasks and data review processes with limited supervision within targeted timelines

Ability to demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks

Ability to apply expertise in quantitative analysis, data mining, and the presentation of data

Ability to partner cross-functionally at all levels of the organization and effectively communicate findings and insights to non-technical business partners

Ability to independently engage with customers and business partners to gather requirements and validate results

Ability to communicate and present data-driven insights and recommendations to both internal and external stakeholders

Ability to provide technical guidance to junior analysts