Data Analyst

• BS and 4 - 8 years of prior relevant experience or Masters with 2 - 6 years of prior relevant experience. Experience may be exchanged for degree requirements\n
• Requires an active TS/SCI with Polygraph\n
• Strong knowledge of Python for data cleaning, transformation, and modeling\n
• Knowledge of all-source intelligence production, including SIGINT and/or HUMINT reporting\n
• Ability to identify and recommend process improvements\n
• Experience creating data models that depict trends and support decision-making\n
• Proficiency with data visualization tools (Tableau, Power BI, or Excel)\n
• Strong communication skills, with the ability to brief non-technical audiences\n
• Ability to work in a dynamic environment and adapt to evolving mission requirements\n
• Proven ability to work independently without constant direction\n
• Strong organizational and problem-solving skills\n

n \nLeidos has a new and exciting opportunity for a Data Analyst in our Intel Sector Analysis Solutions Business Area (ASBA) in McLean, VA. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area!\n \n \nJob Summary\n The Data Analyst will provide enterprise-level analytical support by generating groupwide metrics, improving knowledge-management processes, and ensuring data accuracy across multiple systems. The Analyst will develop data visualizations using Tableau, Power BI, or Excel to communicate insights clearly to non-technical customers and stakeholders. This role supports a small team of Intel Analysts in a dynamic, fast-paced environment and requires the ability to operate independently with minimal guidance.\n \n \nResponsibilities Include:\n \n \n

• Pull, compile, and analyze groupwide metrics to support leadership decision-making\n
• Identify data bottlenecks and recommend process improvements to streamline knowledge-management workflows\n
• Clean, standardize, and validate datasets from multiple sources\n
• Develop dashboards, reports, and visualizations using Tableau, Power BI, or Excel\n
• Brief findings and trends to non-technical customers, leadership, and stakeholders\n
• Build analytical models to identify patterns, track performance, and forecast trends\n
• Collaborate with Intel Analysts to translate operational needs into data-driven insights\n
• Maintain documentation of data sources, processes, and analytical methodologies\n
• Operate effectively in a dynamic environment with shifting priorities\n
• Work independently with limited direction while meeting deadlines and quality expectations\n