Supervisor, Manufacturing & MIS - India

Job Locations IN-HP-Paonta Sahib
ID
2025-16810
Category
Manufacturing
Position Type
Regular Full-Time

Overview

Supervisor – Manufacturing & MIS
πŸ“ Location: Paonta Sahib, Himachal Pradesh
🏭 Department: Contract Manufacturing | MIS & Quality Performance
πŸ“Š Focus: Data Analysis | Manufacturing Insights | Operational Excellence

Are you passionate about turning data into action? Herbalife is looking for a data-driven professional to join our Manufacturing & MIS team at our Paonta Sahib plant. If you're skilled at collecting, analysing, and presenting complex operational data – we want to hear from you!

Key Responsibilities

  • Collate and publish daily, weekly, monthly dashboards from multiple manufacturing lines and sites.

  • Prepare and present CM scorecards aligned with global KPIs.

  • Track performance on trials, NPIs, capacity improvement projects and critical metrics.

  • Conduct trend analysis on quality data, hold batches, and market complaints – turning them into actionable insights.

  • Support review meetings with Contract Manufacturers and internal stakeholders.

  • Download, manage and analyse data from Herbalife portals and other sources.

  • Track and support CAPA and investigation closures, and publish compliance reports.

  • Facilitate operational excellence by helping CMs set baselines and productivity goals.

What We’re Looking For

  • Strong analytical mindset and data interpretation skills.

  • Experience working with large data sets, MIS dashboards, scorecards and statistical tools.

  • Proven experience in manufacturing environments – Food, Nutraceuticals, or Pharma preferred.

  • Confident in leading review meetings and working with cross-functional teams.

  • Proficiency in Excel, trend analysis, and process monitoring tools.

Qualification

  • Graduate in Food Technology / Engineering / Pharmacy / Nutrition / Mechanical, with 5+ years of relevant manufacturing data/MIS experience.

This is a plant-based role requiring daily collaboration with manufacturing, quality, and supply chain teams. If you enjoy making sense of data to drive business decisions and improve manufacturing performance, this role is for you!

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