Data Analyst - Remote

About The Company

Leidos is a global leader in the integration and application of information technology, engineering, and science to solve complex challenges across defense, aviation, civil, and health markets. Known for its innovative approach and commitment to excellence, Leidos empowers its workforce to outthink, outbuild, and outpace the status quo. The company fosters a culture of continuous improvement and disruption, encouraging employees to challenge conventional methods and drive transformative solutions that support critical missions worldwide.

About The Role

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about transforming data into actionable business insights. This hybrid role requires the candidate to spend 50% of their time onsite at the Fort Worth, TX office and 50% remote, with the expectation that candidates reside within a commutable distance to the office. The ideal candidate will combine strong technical expertise, critical thinking, and exceptional communication skills to independently analyze complex datasets, identify meaningful patterns, and translate findings into clear recommendations that support strategic business decisions. The Data Analyst will work closely with business leaders to ensure alignment with organizational goals and drive data-driven decision-making.

Qualifications

• U.S. Citizenship is 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 in data cleaning, transforming, and preparation for analysis.
• Solid understanding of statistics and data analysis methodologies.
• Working knowledge of machine learning concepts and algorithms, including regression, classification, clustering, decision trees, supervised and unsupervised learning.
• Familiarity with Large Language Models (LLMs), AI tools, and their application in data analysis.
• Ability to perform exploratory data analysis and communicate insights effectively.
• Excellent analytical, critical thinking, and problem-solving skills.
• Ability to work independently, prioritize tasks, and investigate issues with minimal supervision.
• Strong verbal and written communication skills to explain technical concepts to non-technical audiences.
• Preferred qualifications include experience with data visualization tools (Power BI, Tableau, Looker), cloud-based data platforms (AWS, Azure, Google Cloud), version control systems such as Git, and experience in business intelligence or AI-driven decision support environments.
  
  

Responsibilities

• 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 workflows for data exploration, modeling, and reporting.
• Perform exploratory data analysis (EDA) including univariate, bivariate, and multivariate analysis.
• Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations.
• Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes.
• Build and evaluate machine learning models including regression, classification, clustering, decision trees, supervised and unsupervised learning.
• Investigate data anomalies and independently determine root causes for unexpected results.
• Identify relevant data elements, metrics, and business questions with minimal direction.
• Translate complex analytical findings into clear, compelling presentations and recommendations for non-technical stakeholders.
• 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 supporting strategic decision-making.
  
  

Benefits

• Competitive salary range from $92,300 to $166,850, commensurate with experience and qualifications.
• Hybrid work environment balancing onsite collaboration and remote flexibility.
• Opportunities for professional growth and development within a leading technology and engineering company.
• Comprehensive benefits package including health, dental, vision, and retirement plans.
• Supportive and innovative culture that encourages disruption and continuous improvement.
  
  

Equal Opportunity

Leidos is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We are committed to creating a diverse environment and are proud to be an inclusive workplace where all employees are valued and respected.