Data Analyst - Remote

Overview

We are seeking a skilled Data Analyst with strong analytical skills and several years of experience in data science or related fields. The ideal candidate will have experience in advanced data analysis, statistical modeling, and data visualization. This position will support the Chief Data and Analytics Officer (CDAO) within the Defense Health Agency (DHA) to transform complex data into actionable insights, driving informed decision-making processes in healthcare delivery.

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

In Short

• Collect, process, and analyze large datasets from multiple sources to support healthcare analytics.
• Develop and maintain data models, reporting systems, dashboards, and performance metrics.
• Apply advanced statistical techniques and analytics to interpret data, identify trends, and provide actionable insights.
• Create data visualizations using tools like Tableau, Power BI, SAS, and Qlik to effectively communicate analytical findings.
• Manage data quality and ensure the integrity and accuracy of data used in analysis.
• Collaborate with cross-functional teams, including IT, healthcare professionals, and business leaders, to identify data needs and deliver relevant data solutions.
• Perform data integration and data cleaning using ETL (Extract, Transform, Load) processes.
• Utilize data science languages such as Python, SAS, R to develop algorithms and predictive models.
• Prepare and present analytic reports that summarize data insights, trends, and recommendations clearly.

Requirements

• Bachelor’s Degree in a related field (e.g., Data Science, Computer Science, Statistics, Healthcare Informatics).
• At least 5 years of experience in data analysis and the application of information systems.
• Proficiency with data science languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, SAS, and Qlik.
• Strong technical skills in Microsoft Office products, including Excel, Word, and PowerPoint.
• Demonstrated ability to synthesize disparate data from multiple sources into actionable insights.
• Proven ability to communicate analytical discoveries and recommendations clearly and effectively.
• Ability to handle multiple tasks with simultaneous deadlines.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on impactful projects in healthcare analytics.
• Collaborative work environment with cross-functional teams.
• Access to emerging technologies and advanced tools.
• Professional development and training opportunities.