Data Analyst

Leidos•McLean, VA

6d•$73,450 - $132,775

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 producing groupwide metrics, improving knowledge-management processes, and ensuring data accuracy across multiple systems. The analyst develops visualizations with Tableau, Power BI, or Excel to communicate insights to non-technical customers and stakeholders. The position supports a small team of Intel Analysts in a dynamic, fast-paced environment. It requires independent work with minimal guidance, adaptability to shifting priorities, and delivery of work that meets deadlines and quality expectations.

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 clearance.
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 data visualization tools such as 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.
Operate effectively in a dynamic environment with shifting priorities.
Work independently with limited direction while meeting deadlines and quality expectations.