At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Discipline Supply Chain Analytics
Role Type Supply chain Analytics

Assistant Manager – Supply Chain Analytics
Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors.

The opportunity
We are looking for Assistant Manager – Supply chain analytics, proficient in Operation Research, Machine Learning and Python Programming will be responsible for developing and delivering solutions applying Operation research, Machine Learning and other Advanced Analytics techniques which will be used to implement the EY SaT mergers and acquisition methodologies.

Discipline Supply Chain Analytics

Role Type-Supply chain Analytics
A Supply chain Analyst at EY:

• Good understanding of the supply chain process -> Provide end-to-end supply chain analysis from procurement, planning, warehousing, transportation, customer service to the final delivery.
• Conduct deep-dive analysis on supply chain processes and performance data to drive continuous improvement.
• Develop and implement machine learning models and algorithms to improve supply chain efficiency and effectiveness.
• Apply operational research methods for process optimization and cost reduction.
• Develop data visualization and dashboard for supply chain operations management.
• Collaborate with cross-functional teams to collect data and align on supply chain strategy and execution.
• Support new product introduction, cost reduction, and process improvement initiatives.
• Carry out variance analysis, identify trends, and make recommendations for improvements.

Key Skills

Operational Research models such as Linear Programming, Network Optimization, Inventory Optimization, Demand Forecasting, etc. OR tools like Supply chain Guru, AIMMS, Google OR etc. Computational Thinking and Programming, Data Analysis and Interpretation, Data Visualization, Machine Learning, Natural Language Processing & Generation, Speech and Audio Processing and Analysis, Client Handling & Communication, Problem solving / critical thinking, Analytical Thinking, Interest and passion for Technology, Knowledge of Python is must

Your key responsibilities

• Conduct deep-dive analysis on supply chain processes and performance data to drive continuous improvement.
• Develop and implement machine learning models and algorithms to improve supply chain efficiency and effectiveness.
• Apply operational research methods for process optimization and cost reduction.
• Develop data visualization and dashboard for supply chain operations management.
• Collaborate with cross-functional teams to collect data and align on supply chain strategy and execution.
• Support new product introduction, cost reduction, and process improvement initiatives.

Carry out variance analysis, identify trends, and make recommendations for improvements..

Skills and attributes for success

• Able to work creatively and systematically in a time-limited, problem-solving environment
• Loyal and reliable with high ethical standards
• Flexible, curious and creative, open for new things and able to propose innovative ideas
• Good interpersonal skills
• Team player, open, pleasure to work with and positive in a group dynamic
• Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience
• Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision

To qualify for the role, you must have

• Experience of managing teams on Projects focusing on Supply chain, Data Science and Communicating results to clients
• Minimum 6 years of relevant work experience in developing and implementing Operation research model like MIP, Meta Heuristic, & Machine Learning Models- experience of deployment in Azure is preferred
• Conceptually Strong in areas of Linear and Non-Linear Regression, Statistics, Time Series Forecasting, Linear and Non-Linear Optimization
• Experience in working with Natural Language Processing Techniques
• Minimum of 4-6 years of programming in Python, Operation Research
• Minimum of 3 years experience MS-SQL
• Familiar with PowerBI
• Familiar with PostGreSQL
• Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management
• Willingness to mentor team members
• Solid thoughtfulness, technical and problem-solving skills
• Excellent written and verbal communication skills

Ideally, you’ll also have

• Ability to think strategically/end-to-end with result-oriented mindset
• Ability to build rapport within the firm and win the trust of the clients
• Willingness to travel extensively and to work on client sites / practice office locations

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-prominent, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries

What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.