Data Analyst

Leidos•Reston, VA

19h

About The Position

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.

Requirements

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

Nice To Haves

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)

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