Data, AI and cloud modernization services for federal agencies
Analytica is a Washington, DC–based consultancy delivering data engineering, analytics and AI work for federal health, civilian and national security clients. Its stack spans modern lakehouse tooling (Databricks, Unity Catalog, Delta Lake, Spark) alongside mainframe tech (z/OS, Assembler, Endevor), pointing to legacy-to-cloud migration work, while adoption of Kubernetes, Rancher and Jenkins signals a push into containerized delivery. Hiring is accelerating and skews heavily senior across engineering and data.
Analytica is a privately held consulting and technology services firm founded in 2009 and headquartered in Washington, DC. It serves public-sector clients across health, civilian and national security missions. Its service lines cover information and data management, analytics, data science, ML/AI, GIS, systems and software engineering, and IT modernization. The company holds SBA 8(a) and HUBZone certifications and employs 51–200 people, hiring within the United States.
Analytica works with AWS, Azure, Databricks, Unity Catalog, Delta Lake, Apache Spark, Terraform, Python, PyTorch, TensorFlow, Power BI, Tableau and SAS, plus mainframe tools like z/OS and Endevor.
Yes. Hiring is accelerating and concentrated in engineering and data roles, mostly at senior and lead levels, with smaller openings in security and operations, all in the United States.
Current projects include a federal data analytics and AI modernization initiative, migration to cloud-native architectures, MLOps pipeline development, NLP/LLM solutions and secure data pipelines for a regulatory agency.
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Analytica's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.