Analytics Engineer

Build trusted metrics, semantic models, and analytical datasets for decision intelligence products.

• Turn raw data into reusable analytical foundations.
• Help teams understand performance, risk, and operational patterns.
• Improve confidence in dashboards, reports, and AI features.

• Create analytical models, metrics, transformations, and documentation.
• Partner with data engineering on quality, lineage, and performance.
• Work with users to define metrics and answer operational questions.
• Support dashboards, reports, and embedded analytics in products.

• 3+ years of analytics engineering, BI engineering, or data analysis experience.
• Strong SQL and data modeling skills.
• Experience with metrics layers, dbt-style modeling, or dashboard-backed workflows.
• U.S. Citizenship is required.
• Must be capable of obtaining and maintaining a Top Secret security clearance.
• Comfort working with ambiguous mission, data, and engineering problems.
• Strong written communication and ability to explain technical decisions to technical and non-technical teams.

• AWS experience is a plus, especially secure cloud, Gov Cloud, serverless, data, or AI services.
• AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
• Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.

Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.