



Location : Hyderabad / Pune / Remote for other locations
Work Mode : Hybrid (3 days WFO for a week for HYD & Pune guys) or Remote for other locations.
Role Summary:
- Hypothesis Design: Decompose historical shipment data alongside SMEs to formulate specific, testable hypotheses (e.g.,Wrong-node allocation drives 3040% of premium freight").
- Future-State Logic Definition: Collaborate with operations teams to define the "right allocation" rules, mode selection logic, exception thresholds, and escalation gating rules for the new decision engine.
- Financial & KPI Baselining: Work with Finance and Operations to establish the CFO-approved baseline metrics (e.g., Air Usage %, Transport Mix, Node Dwell Time) and track realized ROI during live pilot experiments.
- Technical Alignment: Translate complex business rules and MedTech compliance constraints into clear technical requirements for the Data Engineering and Full Stack teams to encode into the simulation models.
- Validation & Feedback Loops: Conduct weekly operational reviews during the live pilot phase, gathering feedback from planners to iteratively refine model outputs and track avoided escalations.
- Transition & Change Management: Author the updated Standard Operating Procedures (SOPs), facilitate training for the broader planner and control tower teams, and help compile the final Value Realization Report.
Must-Have Skills:
- 9+ years of experience as a Business Analyst, Business Systems Analyst, or Operations Consultant, ideally with deep exposure to supply chain, logistics, fulfilment, or ERP transformations.
- Workshop Facilitation: Proven ability to lead complex process-mapping workshops, extract nuanced business logic from Subject Matter Experts, and drive alignment across cross-functional teams.
- Analytical Acumen: Strong capability to decompose operational data, identify performance drivers, and establish clear, mathematically sound financial baselines and ROI models.
- Hypothesis-Driven Problem Solving: Experience working in iterative, sprint-based environments where solutions are built through testing and validating specific business hypotheses.
- Documentation & Translation: Exceptional skill in translating operational pain points and constraints into structured technical requirements for engineering teams, as well as writing clear SOPs for end-users.
- Stakeholder Management: High emotional intelligence and the ability to comfortably interact with both executive sponsors (e.g., CFOs, Supply Chain Directors) and daily operational users (e.g., Logistics Planners).
- AI/Tech Fluency: While you don't need to be a programmer, you must have a strong conceptual understanding of how predictive modelling, data ingestion, and decision-assist engines integrate into operational workflows.
Perks and benefits:
- Health Insurance
- Meal Card
- Internet/Mobile Allowance
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