Analyst - Advanced Analytics- Supply Chain Analytics

OVERVIEW

In this role, the Analyst key responsibilities involve leveraging data science to solve supply chain challenges. This includes data analysis, model development (descriptive, diagnostic, predictive, prescriptive), and scenario planning. Focus on improving modeling efficiency through automation. Finally, under supervision of project leads manage projects to deliver timely and impactful solutions. This role requires to operate in 1.30pm to 10.30 pm shift.

KEY ACCOUNTABILITIES

• Translate supply chain business objectives into analytical scope, assess data feasibility, and define success criteria.
• Cleanse and explore data to identify trends and root causes, then develop statistical, optimization, or machine learning models under guidance.
• Conduct scenario planning and sensitivity analysis to present information in a structured and understandable manner.
• Drive process automation, identify opportunities to automate workflows and eliminate redundant tasks
• Decent knowledge of Supply Chain is mandatory.

Domain Expertise

• Plan: Supply and production planning; capacity, demand, and inventory planning; make-versus-buy decisions; service-level optimization and cost trade-offs.
• Source: Procurement process optimization; cost-saving and efficiency opportunities; financial, geopolitical, and environmental, social, and governance risk assessment; supplier sustainability and carbon-footprint tracking.
• MakE: Manufacturing performance improvement and waste reduction; failure-mode analysis; anomaly detection; predictive maintenance; root-cause analysis; predictive and prescriptive downtime reduction.
• Network: Network design and distribution; facility location; greenfield and brownfield analysis; transportation and logistics planning; route optimization; cross-docking; push, pull, and postponement replenishment strategies.
• End-to-End & Operating Unit: Understanding of the Plan, Make, Source, and Deliver pillars; ability to connect cross-functional priorities; holistic solution mindset; awareness of key supply chain metrics, including service, cost of goods sold, and waste.

MINIMUM QUALIFICATIONS

Education: Bachelors degree from accredited university (Full Time) in Business Analytics, engineering, statistics or a related quantitative field.

Experience: 1.6 years of related experience in Supply chain analytics

Technical Skills:

• Knowledge of statistical modeling, optimization
• Proficiency in Excel Macros and PowerPoint, leveraging advanced functions for data analysis, visualization, and effective business storytelling
• Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery (nice to have)

Soft Skills: Self-driven, adaptable, accountable, and comfortable collaborating across functions and locations.

PREFERRED QUALIFICATIONS

• Post graduation in Industrial Engineering, statistics or Supply Chain operations
• Professional Certifications for supply chain and Data science