Building AI-first organization to enhance diagnostic workflows across healthcare and life sciences
Responsible for designing and improving product intelligence systems utilizing AI-enabled analytics
Own metric architecture, root-cause analysis, and closed-loop improvement cycles
Drive high-impact improvements across the business using Six Sigma methods
Lead structured RCA and translate findings into corrective actions
Collaborate with finance and operations to support ARR/MRR reporting
Produce analyses and contribute data-driven insights for prioritization discussions
Build dashboards and define measurement plans for experiments
Analyze delivery and reliability metrics and link them to customer impact
Validate telemetry and KPI alignment with Data and Engineering teams

3+ years in Product Ops, Product Analytics, BizOps, RevOps, or FP&A analytics (or equivalent impact)
Strong SQL and data modeling skills; experience with semantic layers
Advanced BI experience with Power BI and/or Tableau
Demonstrated leadership of RCA and cross-functional corrective actions
Continuous improvement or process engineering experience (Lean, Six Sigma, Kaizen); Green Belt strongly preferred
Preferred Lean Six Sigma Green Belt (or higher)
Experience with experimentation platforms and causal measurement
Familiarity with product instrumentation and delivery tooling (e.g., Azure DevOps)
Experience applying AI tools for analytics automation with governance
Working knowledge of DORA and reliability engineering metrics

Senior Business Analyst

Key skills