Business Analyst, Hadrian

• 2–5 years of professional experience in business analysis, data analysis, or operations support
• Strong SQL skills — comfortable self-serving most questions and knowing when to ask for help
• Experience building dashboards and reporting tools that stakeholders actually use, optimized for decision-making
• Ability to translate business problems into structured analytical approaches and communicate results clearly
• Strong data validation instincts — checks for errors and avoids sloppy deliverables
• Self-directed mindset with the ability to operate in ambiguous environments and manage multiple priorities
• Experience working with cross-functional stakeholders; strong ability to learn domain context quickly
• Proactively identifies and executes high-leverage work; escalates issues early
• Genuine curiosity about manufacturing and Hadrian's mission; ability to learn fast

Desirable

• As a Business Analyst at Hadrian, you will partner with stakeholders across operations, supply chain, and cross-functional programs to support a business scaling across many factories
• You will work with large-scale manufacturing data to deliver clear, actionable insights on margins, delivery performance, and production bottlenecks
• This role owns ad-hoc analysis, self-service reporting, and dashboard development
• You will build and maintain scalable data models, identify data quality issues, and partner with Data Engineering to improve data reliability and pipeline performance
• This is a high-impact role open across experience levels, with opportunities to grow into data engineering or software-focused paths
• We are looking for multiple Business Analysts across three tracks:
• Business Operations — Owns analytics and tooling for special projects and cross-functional programs
• Manufacturing & GTM — Drives operational and production analytics to improve throughput, delivery, and margins
• Supply Chain & Operations — Partners with ops and supply chain teams to deliver scalable data models and pipeline reliability
• Analytics & data modeling
• Write and iterate SQL to retrieve and combine data across the Hadrian stack; document assumptions and coordinate resolution of data quality issues with Data Engineering
• Build and maintain scalable data models to support reporting, analytics, and operational decision-making
• Lead investigations with ambiguous or messy data; validate with stakeholders; summarize findings clearly
• Flag anomalies, hypothesize root causes, and document fixes and assumptions
• Dashboards & reporting
• Develop dashboards and reporting tools to track KPIs such as throughput, yield, cycle time, on-time delivery, scrap/rework rates, and machine efficiency
• Build Retool/BI solutions that start scrappy but are maintainable — with clear owners, versioning, access controls, documentation, and monitoring
• Standardize reporting and analytics across the organization
• Cross-functional partnership
• Collaborate with stakeholders across Special Projects, Engineering, Quality, Supply Chain, and Program Management to identify key decisions and the data that supports them
• Translate complex operational data into meaningful insights for senior leadership
• Communicate conclusions and recommendations clearly to both technical and non-technical audiences
• Provide business cases, ROI analyses, and scenario modeling to support strategic initiatives
• Operational improvement
• Analyze manufacturing workflows, machining throughput, and capacity utilization to identify process improvements
• Support ERP optimization and evaluate digital tools that improve traceability and compliance
• Conduct cost/variance analysis, performance forecasting, and delivery risk tracking against production targets
• Support Lean and Six Sigma initiatives, root-cause analysis, and corrective/preventive actions