Data Analyst - Supply Chain (IN)

Cencora; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cencora is seeking a Network Modeler to develop and apply end-to-end supply chain network models that transform complex data into actionable insights for strategic and operational decisions. You will collaborate with cross-functional teams and remote partners to identify use cases and translate business questions into quantitative scenarios.

Responsibilities include building scalable models, creating dashboards, and documenting methodologies to ensure transparency.

Qualifications

• Bachelor’s or Master’s degree in a related field such as Industrial Engineering, Operations Research, Supply Chain, Data Analytics, Mathematics, Statistics, Computer Science.
• Typically requires 3+ years of experience in supply chain analytics, network modelling, optimisation, or related quantitative roles.
• Demonstrated experience applying analytical techniques to business problems and translating results into actionable recommendations.
• Supply chain industry or distribution network experience strongly preferred.

Responsibilities

• Develop and maintain end-to-end supply chain network models covering facilities, flows, transportation, capacity, inventory, and service performance.
• Translate business problems into scenario-based network analyses evaluating cost to serve, service levels, and capacity constraints.
• Collaborate with cross-functional teams to scope modeling opportunities, gather inputs, align scenarios, and interpret results.
• Build scalable models and reusable templates for recurring analyses.
• Create dashboards and visualisations to communicate model inputs, outputs, and trade-offs to technical and non-technical audiences.
• Document modeling assumptions, data sources, and limitations to ensure transparency and governance.
• Maintain data models and datasets supporting supply chain analytics.
• Contribute to development of modeling best practices and training materials.
• Stay current with trends in network modeling, optimisation, simulation, and analytics.

Skills

Quantitative modelling

Statistics

Optimization techniques

Python

SQL

R

Databricks

Power BI

Tableau

Communication skills

Education

Bachelor's or Master's degree in Industrial Engineering, Operations Research, Supply Chain, Data Analytics, Mathematics, Statistics, Computer Science

3+ years of experience in supply chain analytics or related quantitative roles

Tools

Llamasoft/Coupa

AnyLogistix

OptiLogic

Job description

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Job Details

Under general supervision of the Supply Chain Modeling & Optimization Director, the Supply Chain Network Modeler is responsible for developing, maintaining, and applying network models that transform complex supply chain data into actionable insights to support strategic and operational decision making. This role works collaboratively with cross‑functional stakeholders and remote teams to identify modeling use cases, translate business questions into quantitative network scenarios, and evaluate tradeoffs across cost, service, capacity, risk, and growth. The Network Modeler documents assumptions, validates data inputs, and communicates findings through interactive dashboards, visualisations, and structured storytelling to enable informed decisions.

Responsibilities & Requirements

• Develop, maintain, and enhance end‑to‑end supply chain network models covering facilities, flows, transportation, capacity, inventory, and service performance.
• Translate business problems into scenario‑based network analyses that evaluate cost to serve, service levels, capacity constraints, and investment alternatives.
• Partner with Supply Chain, Transportation, Finance, Engineering, and Operations teams to:
  • Scope modeling opportunities
  • Gather and validate inputs
  • Align scenarios and assumptions
  • Interpret and communicate results
• Support network optimization and simulation initiatives by building scalable models and reusable templates for recurring analyses.
• Create standardized dashboards and visualisations to communicate model inputs, outputs, and trade‑offs to technical and non‑technical audiences.
• Document modeling assumptions, methodologies, data sources, and limitations to ensure transparency, repeatability, and governance.
• Maintain and improve data models and datasets that support supply chain network analytics.
• Contribute to the development of modeling best practices, templates, and training materials to support the growth of internal "citizen modelers".
• Stay current with emerging trends in network modeling, optimisation, simulation, and advanced analytics.

Educational & Experience Requirements

• Bachelor’s or Master’s degree in Industrial Engineering, Operations Research, Supply Chain, Data Analytics, Mathematics, Statistics, Computer Science, or a related field.
• Typically requires 3+ years of experience in supply chain analytics, network modelling, optimisation, or related quantitative roles.
• Demonstrated experience applying analytical techniques to business problems and translating results into actionable recommendations.
• Supply chain industry or distribution network experience strongly preferred.

Technical Skills & Qualifications

• Solid foundation in quantitative modeling, statistics, and optimisation techniques.
• Hands‑on experience with supply chain network modelling or optimisation tools (e.g., Llamasoft/Coupa, AnyLogistix, OptiLogic).
• Proficiency in data analysis and modelling languages such as Python, R, SQL, SAS, Databricks.
• Experience working with large datasets and integrating data from ERP, WMS, TMS, transportation, inventory, or forecasting systems.
• Familiarity with business intelligence and visualisation tools (Power BI, Databricks, Tableau, Qlik).
• Understanding of cost to serve, transportation trade‑offs, capacity planning, and service optimisation concepts.
• Experience building business cases and proposals for leadership decision-making; understanding of trade‑offs between capex and opex.
• Lean, Six Sigma, or continuous improvement experience is a plus.

Minimum Skills, Knowledge, and Abilities

• Team‑oriented and highly collaborative working style.
• Strong analytical, conceptual, and problem‑solving skills.
• Ability to communicate effectively—both verbally and in writing—with technical and non‑technical stakeholders.
• Strong presentation and storytelling skills, with the ability to explain complex modelling outcomes clearly and persuasively.
• Strong organisational skills and attention to detail.
• Ability to manage multiple tasks and prioritise effectively in a dynamic environment.
• Demonstrates sound judgement and discretion when working with sensitive or complex information.
• Comfortable working in a remote, cross‑functional, multidisciplinary environment.
• Growth mindset with a strong interest in solving business challenges and continuously improving modelling capabilities.

Benefits

Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements. Full time.

Affiliated Companies

Affiliated Companies: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, colour, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company’s continued success depends on the full and effective utilisation of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non‑discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email [e-mail]. We will make accommodation determinations on a request‑by‑request basis. Messages and emails regarding anything other than accommodation requests will not be returned.