Data Analyst - TS/SCI Required
Overview
LMI: Innovation at the Pace of Need™
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.
LMI is seeking a skilled Data Analyst at the client site in Tampa, FL. Successful Data Analysts demonstrate Expertise in Python and preferred experience with JavaScript, R, C/C+, SQL, Go, Flask, React, SQLAlchemy, and CI/CD.
Responsibilities
- Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.
- Possess the ability to work with and manipulate common data formats, including comma-delimited, text files, and JSON.
- Analyst must be able to transform data and analysis into informative data visualizations and/or interactive dashboards using open source and commercially available visualization and dashboard tools.
- Demonstrate the ability to derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.
- Ability to work in a fast-paced, solutions oriented environment focused on client deliverables, analysis and reporting.
Possess the ability to work in teams and independently. - Analyze local, national, and global trends to identify new sources of data and methods to improve data collection, analysis, and reporting
- Determine technical issues and remove corrupted data & fix coding errors and related issues
- Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data analysis that supports Intelligence products and processes
- Build data solutions, tools, and capabilities to enable self-service frameworks and/or automation for data consumers to monitor, extract, and report on data
- Work with leadership to identify process improvement opportunities, propose system modifications, and devise data management strategies for the enterprise to improve the quality and usability of data
- Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets
Qualifications
REQUIRED:
- Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
- 2+ years of relevant experience in the field
- Eperience providing services similar in required tasks, scope, and complexity.
- Experience working with tools including object-oriented programming (Python, Java).
- Experience creating meaningful data visualizations and/or interactive dashboards that communicate your findings and relate them back to how your insights create business impact using platforms such as
- Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
- 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.
- Superior communication skills, both oral and written
- This position requires an active security clearance at the TS/SCI level. You must be a US citizen.
DESIRED:
- Master’s degree or higher.
- Previous DOD experience.
- Working knowledge and experience with JavaScript, R, C/C++, SQL, Go, Flask, React, SQLAlchemy, CI/CD