Business Analyst

About the Role

We’re hiring a Business Analyst who understands manufacturing deeply and can translate operational challenges into AI-driven and analytics-based product solutions. You’ll work with plant teams to uncover real pain points, shape problem statements, and define requirements that guide our anomaly detection, forecasting, planning, and decision-intelligence products. Your job is to ensure our AI platform solves real factory floor problems — not theoretical ones.

Key Responsibilities

Domain Understanding & Problem Identification

• Analyze manufacturing processes across production, quality, maintenance, and supply chain to uncover operational gaps and inefficiencies.
• Identify high-value problem statements where AI, analytics, automation, or predictive modeling can deliver measurable ROI.
• Engage with plant managers, process engineers, and operators to understand ground-truth challenges and constraints.

Product Discovery & Requirements

• Convert manufacturing insights into structured features, user stories, and detailed requirements for the AI/analytics product stack.
• Define clear use cases for modules like anomaly detection, planning/forecasting, and vendor performance intelligence.
• Work closely with product managers to shape the roadmap based on business impact.

Data & Insights Collaboration

• Work with data science and engineering teams to translate business problems into model requirements, KPIs, and analytics logic.
• Validate data sources (ERP, MES, historians, IoT) and ensure they align with product needs.
• Support evaluation of model outputs to ensure they make operational sense for the shop floor.

Solution Design & Delivery

• Recommend practical solutions that blend product features, process changes, and insights from analytics.
• Support POCs, pilots, and rollout activities, ensuring AI recommendations integrate smoothly into day-to-day manufacturing workflows.
• Gather user feedback and help refine models, dashboards, alerts, and decision workflows.

Continuous Improvement

• Track manufacturing KPIs and identify new opportunities for applied AI and automation.
• Maintain an up-to-date understanding of Industry 4.0, smart manufacturing trends, and emerging AI tools.

Required Skills & Experience

• 6-9+ years experience as a Business Analyst, with at least 2+ years in manufacturing operations or industrial digital transformation.
• Strong understanding of production cycles, quality processes, OEE, maintenance workflows, and supply-chain fundamentals.
• Hands-on experience with ERP, MES, SCADA, IoT platforms, or process historians.
• Ability to write clear, structured documentation: problem statements, user stories, acceptance criteria, BRDs/FRDs.
• Comfort working with data teams on analytics concepts (KPIs, dashboards, anomaly detection, predictive models).
• Excellent communication skills — able to translate between factory-floor reality and technical product teams.
• Proven ability to break down complex problems and propose simple, actionable solutions.

Preferred Qualifications

• Experience working in an AI/ML or data analytics product environment.
• Familiarity with forecasting, anomaly detection, predictive maintenance, or optimization models.
• Exposure to Industry 4.0 technologies or smart factory initiatives.
• Lean/Six Sigma background is a plus (but not required).