Global Supply Chain Data Analyst
Remote - Ohio
Hillenbrand
Position Summary:
As a Global Supply Chain Data Analyst at Hillenbrand, you will work closely with cross-functional teams to develop, implement, and continuously improve data-driven solutions that enhance the cost-effectiveness, efficiency, resiliency, and sustainability of our global supply chain.
Work You’ll Do:
Data Analysis:
- Interpret large data sets related to supply chain operations, analyzing results using statistical techniques. Turn data into actionable insights. Instrumental in helping business make informed decisions.
- Track business performance and perform root cause analysis through delivering insights on what is currently happening, and what happened in the past.
Data Visualization and Reporting:
- Create compelling data visualizations and dashboards to communicate complex supply chain insights to stakeholders.
- Develop and maintain KPI dashboards to track supply chain performance and identify improvement opportunities.
Data Cleaning:
- Process, clean, and validate the integrity of data to ensure uniformity and accuracy.
- Perform data and error analysis to improve dashboards and decision models.
- Participate in data governance processes to help improve data quality.
Supply Chain Sustainability:
- Collaborate with sustainability teams to assess and reduce the environmental impact of supply chain operations.
- Analyze and report on sustainability metrics and recommend strategies for improvement.
Data Integration:
- Work with IT teams to integrate and maintain data from various sources, including ERP systems and external data providers.
Continuous Improvement:
- Stay up to date with industry trends and best practices in supply chain analytics and data analysis.
- Continuously enhance models and algorithms to adapt to changing business needs.
Team:
You will work with a dynamic, purpose-driven group of procurement professionals across the world.
Basic Qualifications:
- Bachelor’s degree in Data Analysis, Operations Research, Supply Chain Management, Statistics, or a related field.
- Proven experience in data analysis, with 3-5 years in a supply chain or logistics role.
- Proficiency in mathematics, statistical analysis and SQL.
- Strong expertise in data visualization and analysis tools such as PowerBI, Tableau or Alteryx.
- Expert knowledge with Microsoft Excel and PowerPoint.
- Excellent problem-solving skills and the ability to work collaboratively in cross-functional teams.
- Strong communication skills to convey technical findings to non-technical stakeholders.
Preferred Qualifications:
- Master's or Ph.D preferred
- Familiarity with programming languages such as Python, Java, SAS, or R preferred.
- Experience with supply chain management systems and ERP software is a plus.
Who we are:
Hillenbrand (NYSE: HI) is a global industrial company that provides highly-engineered, mission-critical processing equipment and solutions to customers in over 100 countries around the world. Our portfolio is composed of leading industrial brands that serve large, attractive end markets, including durable plastics, food, and recycling. Guided by our Purpose — Shape What Matters For Tomorrow™ — we pursue excellence, collaboration, and innovation to consistently shape solutions that best serve our associates, customers, communities, and other stakeholders. To learn more, visit: www.Hillenbrand.com.
EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us @recruitingaccommodations@hillenbrand.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. At Hillenbrand, everyone is welcome to apply and "Shape What Matters for Tomorrow".
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data governance Data quality Data visualization Excel Industrial Java Mathematics Power BI Python R Research SAS SQL Statistics Tableau
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