Data Analyst - TS/SCI with Polygraph Required

Data Analyst - TS / SCI with Polygraph Required

Job Locations US-VA-Reston

Job ID

2024-11934

of Openings

Category

Data / Analytics

Overview

LMI is seeking a Data Analyst to support our Intelligence Community client.

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.

Responsibilities

Responsible for providing analytical support services to aid in planning and executing civilian pay. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations.

Collaborate with an integrated team of data analysts, and data engineers, and web developers to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results

• Understand and analyze complex and organization-specific datasets to aid in planning and executing civilian pay
• Define and develop techniques to integrate, consolidate, and structure data for analytical use.
• Support the transformation of businesses process through automation
• Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools
• Provide regular detailed reporting to management and customers
• Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers

Qualifications

• Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
• Minimum 5 years in data analytics or related
• Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
• Experience working with programming languages like SQL and python (SQL required, python preferred)
• Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js
• Self-starter with the vision to independently identify opportunities for improvement through data analytics.
• A true team player who maintains a positive attitude in a dynamic environment.
• Excellent communication skills, written and oral
• Proven ability to work with business customers and technical teams
• Highly organized and able to manage multiple projects simultaneously
• Excellent customer relationship management skills
• Innovative problem-solving skills and ability to thrive in a fast-paced environment
• Ability to work on client site in the NCR in Washington, D.C
• This position requires an active security clearance at the TS / SCI level with polygraph; US citizenship required.

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, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

If you are a person with a disability needing assistance with the application process, please contact [email protected]

Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation.

You will not be penalized for redacting or removing this information.

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