Want to get hired at Onebrief?
Business Operations Data Analyst
Onebrief
RemoteRemote
Original Job Summary
About Onebrief
Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. Onebrief makes the team superhuman by enabling faster, smarter, and more efficient decisions. Founded in 2019 by experienced planners, Onebrief has raised $123m+ from top-tier investors and is valued at $1.1B.
About The Role
As the Business Operations Data Analyst at Onebrief, you will define and lead the build-out of a company-wide Data Analytics practice. You will establish the foundation for how data is governed, analyzed, and acted upon, helping teams make well-informed decisions. Your focus is to develop clear value metrics that demonstrate customer impact and maximize mission outcomes.
Core Responsibilities
- Build and lead Onebrief's analytics foundation from governance to reporting.
- Develop customer value metrics and impact frameworks to measure success.
- Design scalable data pipelines and dashboards for unified insights.
- Partner with Customer Relations, Product, Sales, and Engineering for strategic decisions.
- Deliver role-based reporting and executive insights to drive accountability.
What We're Looking For
- Strong background in applied analytics, operations research, or similar fields.
- Expert-level proficiency in SQL and Power BI.
- Active Top Secret clearance.
- Experience in high-growth SaaS, enterprise, or defense technology environments.
- Familiarity with modern data stacks (e.g., AWS, Grafana, Fivetran).
Key Skills/Competency
- Data Analytics
- SQL
- Power BI
- Data Governance
- Data Modeling
- Data Visualization
- Operations Research
- Strategic Decision-making
- Dashboard Design
- Customer Impact Analysis
How to Get Hired at Onebrief
🎯 Tips for Getting Hired
- Customize your resume: Tailor data analytics experience to Onebrief.
- Showcase SQL skills: Highlight technical and reporting proficiency.
- Research Onebrief: Understand their military and SaaS background.
- Prepare for interviews: Practice data strategy and visualization cases.
📝 Interview Preparation Advice
Technical Preparation
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Practice advanced SQL queries.
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Build sample data pipelines.
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Learn Power BI dashboard techniques.
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Review modern data stack tools.
Behavioral Questions
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Describe a challenge solved with data.
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Discuss teamwork across departments.
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Explain handling tight project deadlines.
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Share an experience with strategic insights.