Job Location: Ohio
What Data Science contributes to Cardinal Health
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
Responsibilities
- Consult corporate and field management teams, helping them make better supply chain resource planning decisions.
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Perform analyses and quantitative modeling to support strategic, tactical, and operational decisions in the following areas:
- Distribution Center Network design: including number, role, and size of facilities for Pharmaceutical product distribution
- Distribution Center Processes and Facility Layout
- Transportation alternatives for product movements: into Cardinal DCs; between replenishment centers and customer facing DCs; and outbound to customers
- Inventory management stocking strategies by product, facility, and customer class
- Operations Excellence Support: Support Black Belt and Green Belt projects
- Other projects where trade-offs need to be made between objectives in facility, transportation, inventory, and sales groups
- Listen to clients and quickly understand complex problems. Identify key components that should drive decision making.
- Model and quantify the financial and operational impact of various alternatives on key components. Use 3rd party optimization/simulation software or develop tools in house if needed.
- Communicate complex analytical results to clients so they comprehend and accept findings and recommendations
Qualifications
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Bachelor’s degree in related field, or equivalent work experience, preferred
- Graduate degree with focus in Operations Research, Industrial Engineering, or Statistics preferred.
- Quantitative undergraduate degree with >8 years relevant experience required;
- Demonstrated ability to apply Operations Research/Decision Science/Data Science or other analytical techniques in the areas of logistics and supply chain management
- Computer skills including data analysis with tools such as R, Python, SQL, Tableau, SAS, MS Access, MS Excel and other data warehouse software
- Experience with Strategic Network Design, Transportation Optimization, Simulation, or Mathematical Programming (e.g. CPLEX) software preferred
- Proven ability to work as part of a team as the key analytical resource
- Good communication skills required for problem definition and review of results
What is expected of you and others at this level
- Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
- Participates in the development of policies and procedures to achieve specific goals
- Recommends new practices, processes, metrics, or models
- Works on or may lead complex projects of large scope
- Projects may have significant and long-term impact
- Provides solutions which may set precedent
- Independently determines method for completion of new projects
- Receives guidance on overall project objectives
- Acts as a mentor to less experienced colleagues
Location
- Remote, work from home
- >5% Travel
Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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