Sr. Transportation Data Analyst
Listed on 2025-12-02
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Why Choose Us?
Novolex is a leader in packaging innovation, choice and sustainability. We manufacture products in paper, plastic and sustainable materials for the food, retail, health and industrial markets.
- $95, base salary * + annual bonus
- This is hybrid position with 2 days remote.
- Medical, dental and vision options
- Wellness rewards to fund your HRA or HSA
- Paid holidays, time off, parental and other leaves
- Financial protection benefits such as life, AD&D and disability insurance, and 401(k) Plan with employer matching contributions
- Education Support (for example, tuition reimbursement, Chairman's Scholarship, 529 College Savings Plan)
- Broad Based Employee Award Program-value sharing plan for all employees with one year of service
- Employee Assistance Program and much more!
* The range provided is based on cost of living/geography and what we believe is reasonable in the market at the time of posting. This role may be eligible for annual bonus and annual merit increase, as well as long term compensation. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors.
OurSustainability Commitment
The Novolex sustainability vision is built upon three pillars: our products, our operations and our people. Each is critically important to our growth and future as a business. These pillars form the foundation of our company-wide commitment to sustainability, helping us achieve our ambitious goals through our wide-ranging initiatives.
How You ll Perform the RoleThe Senior Transportation Data Analyst will be a key member of the Transportation Reporting and Analytics team, supporting both operational and financial reporting needs. This role requires collaboration, flexibility, and the ability to back up other team members as needed.
Key responsibilities include:
- Deliver financial and operational KPI reporting and analytics to the Transportation Procurement and Operations teams.
- Develop and maintain dashboards and ad hoc reports using Tableau/Power BI.
- Perform data extraction, transformation and loading (ETL) processes to ensure seamless integration and data integrity across systems such as SAP, HANA, and TMS.
- Automate recurring reports (daily, weekly, monthly, annual) for various organizational levels.
- Continuously improve reporting tools, processes, and outputs to support decision-making.
- Support budgeting, forecasting, and monthly financial performance reviews.
- Monitor carrier performance and track KPIs against targets, providing root cause analysis for underperformance.
- Design and enhance reports and dashboards to meet evolving business needs and metrics.
- Use SQL to extract data and support reporting from multiple sources.
- Provide timely, accurate data and insights to support Transportation Operations.
- Proactively seek out new technologies and tools to enhance the transportation analytics ecosystem.
- Contribute to the exploration, development, and potential support of a centralized data lake to improve data accessibility and scalability across the organization.
Education:
- BA/BS degree in Supply Chain, Data Science, or Finance. Direct experience in the subject field may be considered in lieu of this requirement at Management's discretion.
Experience:
- 3-5+ years of progressive experience with Supply Chain or Data/Analytics, preferably in a dynamic consumer packaged goods environment.
Knowledge/Skills/Abilities:
- Proficient in Microsoft Office Suite, with advanced Excel skills including array formulas and pivot tables.
- Skilled in data visualization tools such as Tableau and Power BI.
- Proficient in SQL and Excel VBA. Familiar with Alteryx and Python.
- Experience with SAP; familiarity with SAP HANA, Snowflake and Microsoft Fabric is a plus.
- Strong analytical and organizational skills with exceptional attention to detail.
- Proven ability to work with large, complex data sets to identify trends, develop metrics, and communicate findings clearly.
- Effective verbal and written communication skills, with the ability to influence across all levels of the…
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