Senior Analyst - Supply Chain Advanced Analytics

In this role, the Senior 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 to improve modelling efficiency through automation and mentor junior analysts. Finally, independently manage moderately complex projects to deliver timely and impactful solutions. This role requires you to operate in 1.30 pm 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.

Conduct scenario planning and sensitivity analysis while independently managing moderately complex analytical projects to deliver impactful solutions.

Improve modelling efficiency through automation, eliminate redundant workflows, and mentor analysts by validating analytical deliverables.

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.

Manufacturing and Engineering (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: Bachelor’s degree from accredited university (Full Time) in Business Analytics, engineering, statistics or a related quantitative field.

Experience: 3+ years of related experience in Supply chain analytics

Technical Skills: Any optimization tool like Supply Chain Guru/Optilogic/Any logic (Nice to have)

Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery

Knowledge of statistical modeling, optimization, machine learning

Proficiency in Excel and PowerPoint, leveraging advanced functions for data analysis, visualization, and effective business storytelling

PREFERRED QUALIFICATIONS

Post graduation in Industrial Engineering, statistics or Supply Chain operations

Professional Certifications for supply chain and Data science

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.