Data Analyst II (Healthcare Analytics)

Louisiana Healthcare Connections, Inc.
San Diego, CA, United States
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Health Informatics Information Systems Databases Data Validation Data Files Data Mining Data Visualization Query Languages R (Programming Language) Health Information Technology
+7 more
Python (Programming Language) Automation of Marketing Requirements Management SQL Databases Scripting Information Technology Data Management

Job description

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.

Remote Available Nation-wide.

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.

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.

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.

Requirements

Education/Experience: 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. Healthcare analytics experience preferred. Working knowledge of SQL/query languages. 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., Actuarial Skills, Analysis Skills, Automation, Business Intelligence Software, Clinical Outcomes, Communication Skills, Cost Control, Cross-Functional, Data Analysis, Data Management, Data Mining, Data Modeling, Data Sets, Database Programming Languages, Economics, Finance, Health Informatics, Health Information Technology, Health Science, Healthcare, Healthcare Administration, Healthcare Providers, Information Technology & Information Systems, Leadership, Mathematics, Problem Solving Skills, Process Management, Public Health, Python Programming/Scripting Language, Quantitative Analysis, R Programming Language, Requirements Management, Requirements Validation/Verification, Root Cause Analysis, SQL (Structured Query Language), Statistics, Test Design, Trend Analysis, Visual Communication

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