Senior Data Analyst - Healthcare
Tysons, VA, United States
Logistics Management Institute
With a legacy of solving the government’s most complex challenges and an outcome-driven model to execute above expectation, LMI transforms missions with solutions that define the new speed of possible.Overview
LMI is seeking a skilled Senior Data Analyst - Healthcare. Position is on the staff of a private, government consulting firm. Work is sponsored by Federal Government departments and agencies, including the Department of Health and Human Services. This position may be performed remotely.
The successful applicant will become part of a team dedicated to analytical support and operations work for the Department of Health and Human Services (HHS), specifically the Center for Consumer Information and Insurance Oversight (CCIIO). The primary focus will be data analytics to ensure that health insurance plans are aligned with federal regulations. However, this position will NOT be involved in direct drafting of policy or in influencing policy decisions made by the government.
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
We offer a generous compensation package with excellent benefits that start the first day of employment. Flexible work schedules, telework opportunities, and tuition reimbursement are a few of our many work-life benefits available to our employees. Come join the organization consistently ranked as a top workplace!
Responsibilities
Responsibilities may include:
- programming and analyzing data in a Microsoft Azure environment using Azure Synapse Notebooks and PowerBI
- analyzing data using Python, SQL, spreadsheets, or other analytical tools
- presenting complex data in easy to understand presentations, and working in a team
- researching guidance and regulations
- assisting with writing updates to client documents such as public instructions and standard operating procedures
The successful applicant:
- will become part of a team that supports Health and Human Services (HHS), and the Center for Consumer Information and Insurance Oversight (CCIIO) within HHS.
- should be comfortable working with information systems, validation and verification of data by comparing and analyzing data from various sources, and reporting findings in a meaningful way.
- is interested in developing an understanding of changes in healthcare policy at the federal and state levels, which will aid LMI in implementing programs from the Affordable Care Act
Qualifications
MINIMUM QUALIFICATIONS
- Bachelor’s degree in industrial engineering, operations research, statistics, mathematics, computer science, or related discipline
- 5+ years of experience
- Strong analytical skills
- Experience coding in Azure Synapse
- Proficiency in Python
- Proficiency in Microsoft Office programs including Word, Excel, PowerPoint.
- Superior communication skills, both written and oral
- Ability to absorb large amounts of new technical and policy knowledge without a lot of guidance
DESIRED SKILLS AND BACKGROUND
- Master’s degree in industrial engineering, operations research, statistics, mathematics, computer science, data science or related discipline
- Expert knowledge of Python, Tableau, PowerBI, SQL, Excel - VBA, and/or SAS.
- Understanding of federal healthcare programs.
- Over 5 years of experience in data analysis and reporting.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Consulting Consulting firm Data analysis Data Analytics Engineering Excel Industrial Mathematics Power BI Python Research SAS SQL Statistics Tableau
Perks/benefits: Flex hours Health care
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.