Data Analyst – Supply Chain

About the company
Raphe mPhibr Pvt. Ltd is India’s largest R&D-driven; UAV manufacturer, revolutionizing aerospace with indigenously developed, cutting-edge drone technology. Our UAVs have flown over 1 million kilometres across diverse terrains and weather conditions. With 900+ talented professionals trained at premier institutions like MIT, Georgia Tech, IITs, and NITs and state-of-the-art research and manufacturing facilities, we design and build almost every component of our UAVs in-house. Our expertise spans Aerodynamics, Materials Science, Mechanical Engineering, Electronics, Software, and AI, enabling us to create comprehensive and customized end-to-end solutions. Recognized for our rapid growth and inclusive culture, we were recently named LinkedIn's Top 10 Startups 2024 and honoured with the FICCI Women's Empowerment Award. Beyond work, we foster a collaborative, fun, and inclusive workplace, supported by unique events and thoughtful policies that reflect our commitment to our people We innovate for a better society We innovate for a better society Do you want?
• The opportunity to work alongside highly innovative and technical minds?
• A competitive salary based on your skills?
• To turn supply chain data into decisions that keep the right material, in the right quantity, at the right time? Job Brief: We are looking for a Data Analyst
- Supply Chain to turn Raphe’s supply chain data into numbers that drive decisions. You will maintain and analyse the Material Delivery Plan, model demand, stock and lead times, and catch shortages before they hinder research or production.



Working with our planners, buyers and supplier quality team, you will use data to show what is working. This role is built for a mathematician who wants to apply that rigour to real world cases and deadlines. Are you ready to be part of a dynamic, rapid-growing team? If yes, then let’s solve the real problems and innovate newer possibilities. Sounds interesting? Come, join us on this incredible journey Don’t just dream about what’s next – build it Essential

Skills:
• Strong foundation in mathematics and statistics: probability, distributions, regression and basic optimisation.
• Strong Excel: lookups, pivots and clean data handling across large item lists.
• Ability to track and maintain planned orders with quantities and need dates.
• Ability to calculate and maintain safety stock and reorder points from demand and lead-time data.
• Ability to build a shortage report and rank shortages by production impact.
• Discipline with master data: correct lead times, units of measure, order multiples and BOM revisions.
• Clear communication of numbers to non-technical teams through simple tables and charts. Preferred

Skills:
• Demand and supply planning: balancing demand,



supply and capacity across a horizon, including scenario plans.
• Continuous improvement: data-driven retrospective analysis to improve processes.
• Programming for data analysis in Python, R or SQL.
• Dashboarding tools such as Power BI or Tableau.
• Interest in aerospace, defence or drone (UAS) technology is a plus. As Data Analyst
- Supply Chain, you will:
• Maintain and update the Material Delivery Plan with the right material, in the right quantity, at the right time.
• Track planned orders against need dates and flag gaps early.
• Calculate safety stock and reorder points, and monitor stock and excess.
• Run the shortage report, rank shortages by production impact and support recovery with purchasing and suppliers.
• Keep master data accurate: lead times, units of measure, order multiples and BOM revisions.
• Build demand, supply and capacity scenarios to support planning decisions.
• Analyse supply chain KPIs such as lead-time trends, on-time delivery, stock turns and supplier defect rates.
• Build dashboards and reports that give leadership a clear view of material status.
• Document methods, models and findings so the next person starts faster. Qualification and

Experience:
• Bachelor’s or Master’s degree in Mathematics, Statistics, Applied Mathematics or a related quantitative field.
• 0–2 years of experience; freshers are welcome to apply.
• Internship, project or coursework in data analysis, statistics or operations research is a plus.

📌 Data Analyst – Supply Chain (Noida)
🏢 Raphe mPhibr
📍 Noida