Data Analyst I Healthcare Analytics

Centene Corporation

1d•Remote

About The Position

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility. 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. Applicants for this job have the flexibility to work remote from home. Candidate must live in Eastern or Central Time Zone. Position Purpose: 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. This role will require the applicant to use advanced analytics and apply statistical rigor to member and claims data to evaluate the impact of internal clinical programs, provider engagements, and health services research to derive data-driven insights of these initiatives on healthcare spending, healthcare utilization, and clinical outcomes. 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 customer. Manage multiple, variable tasks and data review processes under direct supervision within targeted timelines. Support the design, testing, and implementation of process enhancements and identify opportunities for automation. Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners. Performs other duties as assigned. Complies 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.
0-2 years of experience in working with large databases, data verification, and data management.
Working knowledge of SQL/query languages.

Nice To Haves

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 with emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation.
Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired.

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.
Use advanced analytics and apply statistical rigor to member and claims data to evaluate the impact of internal clinical programs, provider engagements, and health services research to derive data-driven insights of these initiatives on healthcare spending, healthcare utilization, and clinical outcomes.
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 customer.
Manage multiple, variable tasks and data review processes under direct supervision within targeted timelines.
Support the design, testing, and implementation of process enhancements and identify opportunities for automation.
Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners.
Performs other duties as assigned.
Complies with all policies and standards.