Operations Research and Systems Analyst (ORSA) / Business Strategist - Clearance Required
Job Locations
US-CA-El Segundo
Job ID
2021-6867
# of Openings
1
Overview
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.
Responsibilities
The Operations Research and Systems Analyst (ORSA) / Business Strategist will:
Identifying and framing problems to support effective solution development and scaling. Challenge areas may include business process inefficiencies, decision impediments such as data quality or a lack of analytic solutions/tools, inconsistent practices, human capital resource management, etc.
Implementing business intelligence to improve decision-making by demonstrating a strong understanding of data integration & data analytic capabilities.
Deriving insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific organizational challenges and objectives.
Recommending and supporting implementation solutions to eliminate waste, standardize best practices, reduce cycle times, improving resource deployment/management, etc.
Transforming data and analysis into informative data visualizations and/or interactive dashboards using open source and commercially available visualization and dashboard tools.
Using operations research techniques to support data-driven problem-solving and improved decision-making.
Possess the ability to work with and manipulate common data formats, including comma-delimited, text files, and JSON.
Monitoring operational effectiveness and making recommendations based on gathering and analyzing data on key performance indicators.
Developing actionable information from analysis of performance indicators and operational data.
Identifying and reviewing data related to performance that is available, and how often data is collected, and recommend how to use the data as key performance indicators.
Qualifications
Minimum Qualifications:
Bachelor's degree in science, technology, engineering, mathematics, computer science, economics, or other related business or technical discipline is required.
8 years experience to include +3 yrs. in Data Integration & Data Analytics, leading operations research and business improvement efforts
Proficiency in data cleaning and munging using Spark API (PySpark, SQL, SparkR), data visualization (plotly), ML knowledge and numerical simulation are pluses.
Experience evaluating programs and operations and recommending process and technology improvements
Experience working with tools including object-oriented programming (Python, C++, Java, etc), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
Working knowledge of databases and SQL is desired. Preferred qualifications include linking analytic and data visualization products to database connections.
Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Additional preferred qualifications include working with unstructured text and natural language processing.
Active Secret clearance required.
Desired Qualifications:
Experience providing complex business solutions for large federal government organizations
DOD Planning, Programming, Budgeting, Execution experience preferred
#LI-SH1
LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.
