Recently postedLogistics

Global Supply Chain – Network Optimization Modelling Analyst

CastrolPune🇮🇳India

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationPune, India

RecruitingSourcingOnboardingSQLMicrosoft ExcelTableauBackground ChecksProcurementPythonSupply Chain ManagementPower BIData Analysis

Job description

Castrol is one of the world’s leading lubricant brands, serving customers and consumers in the automotive, marine, industrial and energy sectors. Castrol brands are recognised globally for their premium quality and high performance, shaped by the company’s commitment to innovation and cutting-edge technology. With products sold in more than 150 countries, Castrol has helped keep things moving on roads and racetracks, air, sea, and space for over 125 years.

Whether you're just starting out or ready for your next big move, you're in the right place to explore an exciting career with Castrol.

Job description

About the Team:

Join Castrol's Product Portfolio Delivery (PPD) team and help achieve strategic objectives of our global supply chain. In this role, you will leverage advanced analytics, Network design, Supply Chain optimization, data modelling and scenario analysis to drive strategic decisions that improve network performance, reduce costs, enhance service levels, and strengthen supply chain resilience.

Working closely with supply chain, procurement, manufacturing, logistics, and finance teams, you will develop data-driven insights and optimization models that support network design, sourcing strategies, and cost saving initiatives across Castrol's global operations.

Key Tasks:

The Supply Chain Network Optimisation modelling analyst is accountable for following deliverables:

Analyse supply chain data to identify cost savings, service improvements, and network optimisation opportunities.
Develop and execute optimisation and simulation scenarios to support strategic supply chain decisions.
Support network design and sourcing projects through data modelling, financial impact assessments, and business case development.
Partner with Procurement on RFP/RFQ activities, supplier evaluations, and sourcing network analysis.
Establish automated data processes and improve data quality to enhance modelling efficiency and accuracy.
Create compelling dashboards, reports, and executive presentations that translate complex analytics into actionable recommendations.

Experience Required:

4-6 years of experience in supply chain management, logistics, operations research, network design, analytics, or related fields, with demonstrated experience applying optimisation models and quantitative analysis to business challenges.
Experience supporting supply chain network design, sourcing optimisation, transportation modelling, manufacturing footprint analysis, or logistics strategy initiatives.
Experience using supply chain optimisation and modelling platforms such as Optilogic, Lyric, Coupa Supply Chain Guru, AIMMS, AnyLogistix, or similar technologies, or demonstrated ability to rapidly develop expertise in advanced modelling tools.
Proficiency in data analytics and programming tools such as Python, SQL, Power BI, Tableau, Alteryx, Excel, or equivalent analytical platforms.
Strong understanding of supply chain cost drivers, network design concepts, inventory optimisation, transportation modelling, and sourcing analytics.
Knowledge of statistical analysis, data visualisation, and modelling best practices.
Experience working with large and complex datasets to generate business insights and support strategic decision-making.
Proven ability to deliver analytical projects involving scenario modelling, cost optimisation, and financial impact assessment.

Privacy

The Castrol entity recruiting for this role is the data controller for the personal information you provide. We use it to assess your application and to manage the recruitment and onboarding process. We may share it with service providers who support our recruitment, and it may be transferred to other Castrol entities internationally under appropriate safeguards. We keep it only for as long as necessary. For details of how we use your information and your data protection rights, contact privacy.response@castrol.com.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to Castrol recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.).
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.