Job Description

With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the world\xe2\x80\x99s biggest brands\xe2\x80\x94and we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We\xe2\x80\x99re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we\xe2\x80\x99re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better.


We are inviting applications for the role of Manager, Supply Chain Analytics
We are looking for a Supply Chain Management Resource who would be responsible for supply chain delivery & domain expertise, and delivering analytics and reporting projects.

Responsibilities

• Consulting w/ CPG/Life Science majors solving their Supply Chain business problems

• Design Supply Chain Analytical solutions \xe2\x80\x93 Define KPIs and metrics and develop BI solutions

• Handle large datasets \xe2\x80\x93 Identify, analyze and interpret trends or patterns in complex data sets using statistical techniques and generate actionable insights

• Work closely with global client\xe2\x80\x99s multiple cross-functional teams to identify business needs, requirements and prioritize needs

• Participate in client meetings, workshops and understand supply chain situation/issues

Qualifications we seek in you!

Minimum qualifications

• MBA/M Tech Industrial Engineering or Management /PG in Engineering or Statistics/Ph.D. in Operations research/optimization domain

• Relevant Work experience in Supply Chain

• Exposure in ERPs \xe2\x80\x93 SAP, JDE, Oracle, etc.

• Hands-on experience in Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics

• Good analytical skills with the ability to collect, organize and analyze significant amounts of data with attention to detail and accuracy

• Manage a team of 8-10 people

• Proficiency with Microsoft Applications - Excellent MS excel, PowerPoint skills is a must

• Good team player and ability to manage large teams

• Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations

• Flexibility to adapt to a variety of engagement types, working hours and work environments, and locations

• Good communication and negotiation skills

• Has worked in the Supply Chain \xe2\x80\x93 Life Sciences / CPG space with hands-on experience in the area of Demand Planning/Supply Planning/Inventory Management/Logistics

• Clearly understands the following areas with hands-on work on at least 2-3 areas, incl but not limited to, Forecasting, Demand Planning, Capacity Planning, Inventory management, Supply Planning, Logistics, Procurement

• Has conducted assessments / blueprinting/due diligence for prioritization problem statements, planning offshore ability, building solution architecture

• Is seen as an inspiring leader who can build PoVs, help structure POCs, is client front-ending, is a story-boarder, can respond to RFP/RFIs

• Worked on Digital Transformation (data strategy incl orchestration, Governance, Architecture, BI to build reporting/insights/analytics factory)

• Designed Analytical solution either around Demand Forecasting, Inventory Optimization, Network Planning, Capacity Planning

• Has a mix of modeling & programming experience & led analytics delivery

• Has done modeling work for solving core business issues using forecasting, predictive modeling, Machine learning/python / R

• Proficient in BI Tools: Tableau/Power BI

• Ability to learn different analytical tools as per business requirement

• Good knowledge of various statistical forecasting and inventory optimization techniques

• Good written and oral communication skills

Preferred qualifications

• Relevant work experience in the Life Science / CPG domain