Analytics
Analytics Engineer
Build trusted metrics, semantic models, and analytical datasets for decision intelligence products.
Oklahoma City, OK / HybridFull-timeMid-SeniorU.S. Citizen / TS capable
Impact
- Turn raw data into reusable analytical foundations.
- Help teams understand performance, risk, and operational patterns.
- Improve confidence in dashboards, reports, and AI features.
What you'll do
- 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.
What we're looking for
- 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.
Preferred experience
- AWS experience is a plus, especially secure cloud, GovCloud, 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.
Hiring note
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.