Data Analyst

Leidos

Data Analyst providing analytical insights at Leidos, a technology leader in smarter digital innovations. Focus on extracting, validating, and analyzing data to drive business decisions and support strategic goals.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $92,300 - $166,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Python and SQL for data analysis, with a strong foundation in statistics and machine learning techniques. Capable of translating complex data insights into actionable business recommendations while collaborating with stakeholders to align analyses with organizational goals.

Highest-signal resume keywords

Python Data AnalysisAdvanced SQL SkillsMachine Learning ConceptsExploratory Data AnalysisData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData CleaningData TransformationStatistical MethodsPredictive ModelingRegressionClassificationClusteringDecision TreesData Analysis Methodologies

Soft Skills

Analytical SkillsCritical ThinkingProblem-SolvingCommunication SkillsIndependence

Tools & Technologies

Power BITableauLookerAWSAzureGoogle CloudGitAI ToolsLarge Language Models

Certifications & Qualifications

U.S. CitizenshipSecret Clearance

Industry Keywords

Data AnalyticsRelational DatabasesData-Driven RecommendationsBusiness IntelligenceQuantitative Field

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

Extract, clean, transform, and validate data from multiple sources, including relational databases
Write efficient SQL queries to retrieve, manipulate, and analyze large datasets
Develop Python-based data analysis workflows for data exploration, modeling, and reporting
Perform exploratory data analysis (EDA)
Apply statistical methods and predictive modeling techniques
Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes
Build and evaluate machine learning models: Regression, Classification, Clustering, Decision Trees, Supervised Learning, Unsupervised Learning
Investigate data anomalies and determine the root causes behind unexpected results
Identify the most relevant data elements, metrics, and business questions
Translate complex analytical findings into clear presentations and recommendations
Develop a deep understanding of the business and industry to ensure analyses align with organizational goals
Partner with business leaders to provide data-driven recommendations that support strategic decision-making

Requirements

What you’ll need

U.S. Citizenship required
Secret clearance or ability to obtain one
Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field (or equivalent practical experience)
Strong proficiency in Python for data analysis and automation
Advanced SQL skills with experience querying and manipulating relational databases
Experience cleaning, transforming, and preparing data for analysis
Solid understanding of statistics and data analysis methodologies
Working knowledge of machine learning concepts and algorithms
Familiarity with Large Language Models (LLMs), AI tools, and their practical application in data analysis
Ability to perform exploratory data analysis and communicate meaningful insights from complex datasets
Excellent analytical, critical thinking, and problem-solving skills
Ability to work independently, prioritize competing tasks, and investigate issues with minimal supervision
Strong verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.
Experience with data visualization tools such as Power BI, Tableau, or Looker (preferred)
Experience using cloud-based data platforms (AWS, Azure, or Google Cloud) (preferred)
Familiarity with version control systems such as Git (preferred)

Benefits

Comp & perks

competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement