Data Analyst job opportunity at Leidos.

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DatePosted 5 Days Ago bot
Leidos Data Analyst
Experience: 2-years
Pattern: full-time
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degreeBachelor's (B.A.)
loacation Reston, VA, United States Of America
loacation Reston, VA....United States Of America

Looking for the opportunity to work on problems that matter, with colleagues that share your interest and expertise in Data Analytics?   Leidos is looking for a Data Analyst to apply their expertise in modeling, statistics, trend analysis, and other data analysis techniques for the Solution Architects (SA) Program. In this role, you’ll work on solving unique, challenging problems while identifying patterns within data sets to support process improvement, inform decision-making, and predict future outcomes.  This role requires a strong foundation in Advanced Analytics concepts, Python programming experience, and the ability to work in fast-paced development teams.  To be successful in this role, you should be highly motivated and collaborative, working well independently and within a team of junior and senior engineers, researchers, and corporate managers. You should be effective at documenting and presenting your work, and comfortable creating and communicating plans, progress, and results.   Primary Responsibilities   Analyze data provided to identify trends, inform decisions  Support developmental plans based on data findings related to program, personnel, training needs  Support development and maintenance of primary program database and run interval reporting and dashboarding (PowerBI)  Implement appropriate modeling and data science strategies required to address need.  Communicate results and methods for solutions to internal and external stakeholders.  Work within teams of AI/ML researchers and engineers within Technology Integration   Basic Qualifications   Bachelors’ Degree in Computer Science, Mathematics, Data Analytics or similar field and 2+ years of relevant experience or Master’s degree with relevant experience.  Strong analytical abilities and Data Management/Quality fundamentals  Experience with data repositories and reporting tools, such as Power BI, SharePoint, Excel, Microsoft Dataverse, Snowflake.  Experience with workflow & reporting tools, such as Tableau, PowerBI, PowerAutomate (Microsoft Power Platform)  Experience with tabular data analysis using languages such as SQL, R, and Python.  Demonstrated strong oral and written communication.  Ability to work in a team environment, as well as independently.  Adaptability to new challenges with a strong motivation to grow and learn in new areas.  General knowledge of Leidos business practices and overall corporate functions and organization.  Ability and willingness to obtain a Top Secret security clearance  Preferred Qualifications (Nice to Have)   Willing to learn new skills and platforms to support data analytics.  Experience with AI/ML such as common Python packages (e.g., scikit-learn, NumPy, Pandas) and Jupyter notebooks.  Familiarity with generative AI techniques, including prompt engineering, tool orchestration, and common NLP tasks such as summarization, entity extraction, and semantic search.   Practical understanding of agentic frameworks (e.g. LangChain, LangGraph, CrewAI, AutoGen, A2A, or MCP)  If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: February 24, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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