> Markdown version of [/jobs/ext/4358500-data-analyst-iii-medecon](https://www.wearedevelopers.com/jobs/ext/4358500-data-analyst-iii-medecon). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Analyst III, MedEcon

- **Company:** Louisiana Healthcare Connections, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Health Informatics, Data Validation, Data Mining, Data Visualization, Python (Programming Language), Automation of Marketing, Power BI, SQL Databases, Information Technology, Data Management, Tools for Reporting
- **Published:** October 31, 2026
- **Apply:** https://www.careerjet.com/job/us150ecb857b6736e01fcdadb39203f07f/eaa

## About the Role

Key Details: 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.
Strong hands-on SQL experience, including the ability to independently write queries, pull data, and work through complex analytical requests, is highly preferred.
Medical Economics experience is highly preferred, including the ability to analyze utilization and cost-of-care trends, evaluate opportunities, and measure the financial impact of healthcare initiatives.
Strong Excel skills are highly preferred. Experience with Power BI or other data visualization tools is preferred.
Strong analytical skills with the ability to go beyond reporting to identify trends, understand what is driving the results, and translate findings into meaningful insights and recommendations.
Strong communication skills and the ability to translate complex analytical findings for nontechnical stakeholders are highly valuable.

 * Interpret and analyze data from multiple sources including claims, provider, member, and encounters data.
 * Identify and assess the business impact of trends across healthcare initiative and outcomes.
 * Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools., * Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred.
 * 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience.
 * Healthcare analytics experience preferred.
 * Working knowledge of SQL/querying 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 including Microsoft PowerBI.

## Description

Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively PHCO, clinical and other 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., * 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.