Data Science Analyst, Senior (Joint and Services Center) - Security Clearance Required

MITRE Corporation - West McLean, VA

Full-time - Entry Level

Hybrid - West McLean, VA

Professional, Scientific, and Technical Services

About the position

The Data Analyst position at MITRE involves supporting military tactical operations and military intelligence through data-driven analyses. The role requires engagement with sponsors to scope tasks, collect large datasets, and present findings to senior Army leaders. The analyst will work in a dynamic team environment, focusing on various analytical tasks including market research, policy investigation, and economic analysis, contributing to the Army's strategic infrastructure initiatives.

Responsibilities

• Assist in identifying sources of information and gathering a wide range of quantitative and qualitative data to support decisions.
• Apply analysis skills, including exploratory data analysis, time series analysis, and linear regression.
• Leverage mathematical modeling and analysis, capability benefit analysis, and handling large datasets for data-driven analysis.
• Draw conclusions from analyses and articulate key findings in both written and verbal form.
• Assist in developing data visualization products that improve the presentation of complex data sets.
• Translate unstructured data and nontraditional sources of information into decision insights.
• Explore sponsor environments for cross-government challenges and identify potential best practices.

Requirements

• Typically requires a minimum of 5 years of related experience with a Bachelor's degree in Operations Research, Mathematics, Statistics, Economics, Finance, Data Analytics, Data Science, Systems Engineering, or other engineering or quantitative analysis field, or 3 years and a Master's degree, or a PhD with relevant experience.
• Experience with data analysis and visualization tools.
• Proficient with MS Office Suite and business intelligence tools such as Excel and Power BI.
• Excellent written and verbal communication skills.
• Technical depth with demonstrated skills in presenting analytical results both verbally and in writing.
• Investment modeling and analysis, cost benefit analysis, experience in handling large datasets for data-driven analysis.

Nice-to-haves

• Master's in Economics, Mathematics, Statistics, Finance, Business, Operations Research, Data Analytics, Data Science, Systems Engineering, or other engineering field and 3 years of related experience.
• Experience with decision modeling and analysis.
• Experience with developing analyses and recommendations based on large data sets.
• Expertise in using data science tools/languages such as R, Tableau, Python, Spark, and Qlik.

Benefits

• Competitive benefits
• Exceptional professional development opportunities
• Culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth