Supply Chain Business Intelligence Analyst
About The Position
Design Analytics Infrastructure Architect scalable data models integrating multiple operational data sources. Develop automated data pipelines and reusable analytics frameworks that improve reporting efficiency and data reliability. Maintain and continuously improve existing analytics solutions to ensure scalability and accuracy. Enable Operational Decision-Making Translate complex datasets into actionable operational insights that support cost reduction, service reliability, and network optimization. Partner with plant leadership, transportation teams, and supply chain stakeholders to validate findings and implement improvements. Identify trends, risks, and opportunities that impact supply chain performance. Drive Supply Chain Performance Visibility Lead development of supply chain performance scorecards and KPI frameworks used in Monthly Business Reviews (MBR) and executive reporting. Design executive-ready dashboards that clearly communicate performance trends and operational insights. Ensure reporting outputs support both strategic leadership reviews and day-to-day operational management. Champion Data Governance & Adoption Improve data transparency and credibility across decentralized operational data environments. Build confidence in analytics outputs by clearly communicating/documenting assumptions, methodology, and insights. Support the broader organization in improving data literacy and adoption of analytics-driven decision-making.
Requirements
- Bachelor’s degree in Supply Chain, Data Analytics, Business Analytics, Computer Science, or related field
- 5–7 years of experience developing business intelligence or analytics solutions in operational environments
- Advanced experience with: Power BI DAX Power Query (M) Data Architecture
- Experience integrating and transforming large, multi-source datasets
- Demonstrated ability to translate analytics into clear business recommendations
- Strong communication and storytelling skills with the ability to explain complex analyses to non-technical stakeholders
- Ability to work independently and manage multiple analytics initiatives simultaneously
Nice To Haves
- Experience using SQL/Python for data extraction and transformation
- Experience with workflow automation tools such as Alteryx/Dataflow Gen2
- Exposure to distribution systems (e.g., Witron)
- Lean Six Sigma or continuous improvement certification
- Experience working with highly complex transactional data sets
Responsibilities
- Design Analytics Infrastructure
- Enable Operational Decision-Making
- Drive Supply Chain Performance Visibility
- Champion Data Governance & Adoption
Benefits
- health
- welfare and retirement plans including Medical
- Dental
- Life insurance
- Flexible Spending Accounts
- Short-term and Long-term Disability
- 401(k)
- Company-funded retirement contributions
- Paid Time Off
- Education & Development (including Tuition Reimbursement)
- Student Loan Repayment Assistance
- Voluntary Benefits including insurance for home
- auto
- vision and pets
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
