Senior Analyst - Supply Chain Advanced Analytics
Skills
About the role
This is a senior supply chain analytics role applying data science to planning, sourcing, manufacturing and network problems, based in Maharashtra, India. It suits an analyst who can build predictive and prescriptive models and mentor junior analysts while independently managing analytics projects. The employer is a global food company, and the role runs a 1:30pm-10:30pm shift.
What you’ll do
- Translate supply chain business objectives into analytical scope and success criteria
- Cleanse and explore data to identify trends and root causes
- Develop statistical, optimization or machine learning models
- Conduct scenario planning and sensitivity analysis
- Independently manage moderately complex analytical projects
- Improve modelling efficiency through automation
- Mentor junior analysts by validating their analytical deliverables
What they’re looking for
- Bachelor's degree in Business Analytics, Engineering, Statistics or a related quantitative field
- 3+ years of related experience in supply chain analytics
- Proficiency in Python, SQL and visualization tools like Dash
- Experience with cloud platforms such as BigQuery
- Knowledge of statistical modeling, optimization and machine learning
- Proficiency in Excel and PowerPoint for data analysis and storytelling
Nice to have
- Experience with optimization tools like Supply Chain Guru, Optilogic or AnyLogic
- Post-graduate degree in Industrial Engineering, Statistics or Supply Chain Operations
- Professional certifications in supply chain or data science
Questions about this role
How many years of experience do I need?
The posting asks for 3+ years of related experience in supply chain analytics.
Do I need a degree?
Yes, a Bachelor's degree in Business Analytics, Engineering, Statistics or a related quantitative field is required.
What shift does this role work?
The role operates a 1:30pm to 10:30pm shift.
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