Data Analyst

Leidos • McLean, VA

4d

About The Position

Leidos is hiring a Data Analyst in its Intel Sector Analysis Solutions Business Area in McLean, Virginia. The role provides enterprise-level analytical support by generating groupwide metrics, improving knowledge-management processes, and ensuring data accuracy across multiple systems. The Analyst develops visualizations and communicates insights to non-technical customers and stakeholders, while supporting a small team of Intel Analysts in a dynamic, fast-paced environment. The position requires independent work with minimal guidance.

Requirements

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

Responsibilities

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

Benefits

• Paid Time Off
• 11 paid holidays
• 401(k) with a 6% company match and immediate vesting
• Flexible schedules
• Discounted stock purchase plans
• Technical upskilling
• Education and training support
• Paid parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level