Job Description

Overview: LMI is seeking a skilled Data Analyst. Successful Data Analysts demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.
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\xe2\x80\x99 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 believe government can make a difference, and we seek talented, hardworking people who share that conviction. Responsibilities: This data scientist will join a team supporting the Defense Logistics Agency (DLA). The Data Scientist will apply advanced analytics techniques to improving the quality of supply chain catalog data in the Federal Logistics Information System (FLIS).

• Demonstrate the ability to frame and scale data problems to effectively analyze, visualize, and find data solutions.
• Manipulate common data formats, including comma-delimited, text files, and JSON.
• Transform data and analysis into informative data visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
• Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.
• Assess the effectiveness and efficiency of logistics functions through data analysis.
• Apply critical and analytical thinking skills to translate complex information into understandable and impactful work products.
• Oversee and complete special projects as needed.
• Rapidly prioritize competing requirements, understand and simplify client requirements.
• Communicate with clients through written reports and oral presentations.

• Bachelor\xe2\x80\x99s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline
• Experience working with Python
• Working knowledge of databases and SQL
• At least 1\xe2\x80\x934 years of experience in the field
• Superior communication skills, both oral and written

• Master\xe2\x80\x99s degree or higher
• Previous experience working with DoD or supply chain data
• Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
• Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions
• Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact