The ASR Group® family of companies make up the world’s largest refiner and marketer of cane sugar. The companies produce a full line of grocery, industrial, foodservice and specialty sweetener products. Across North America, ASR Group® companies operate five sugar refineries, located in California, Maryland, Louisiana, Canada and Mexico. In Europe, ASR Group® companies operate sugar refineries in the United Kingdom, Portugal, and, with a joint venture partner, Italy. The companies also farm sugarcane and own sugar mills in Mexico and Belize. The ASR Group® portfolio includes the leading brands Domino®, C&H®, Florida Crystals®, Redpath®, Tate & Lyle®, Lyle's®, Sidul® and Whitworths®. ASR Group® companies also produce and market Tellus®, a single-use, compostable tableware and foodservice product made from plant fibers, including sugarcane.
OVERVIEW
The Process Improvement / PLM Data Intern will support ASR Group’s efforts to improve data quality, reporting, and visibility within Product Lifecycle Management (PLM) and related systems. The intern will help organize, clean, and analyze product and formulation data and associated documentation, while partnering with R&D, Operations, Quality, and Regulatory teams to strengthen how information is captured, maintained, and used across the business.
DETAILED ROLES & RESPONSIBILITIES
- Review, clean, and standardize product, formulation, artwork, and documentation data within PLM systems.
- Identify missing, inconsistent, or duplicate data; perform basic data checks and support corrective updates.
- Collect and organize data from PLM and related systems; build simple reports and dashboards using Excel, Power BI, or similar tools.
- Support basic analysis to identify trends, gaps, and recurring data-quality issues; summarize findings in charts, tables, and concise written updates.
- Document current workflows for product data and documentation management; identify opportunities to simplify, improve, or standardize processes.
- Partner with R&D, Operations, Quality, and Regulatory teams to gather, validate, and maintain product data and support internal requests under guidance.
- Identify manual or repetitive tasks that could be simplified or automated; support basic automation using templates and spreadsheet-based tools.
- Maintain organized records of data updates and help draft simple guidelines for data entry and maintenance.
WORK EXPERIENCES
- Experience working with structured data through coursework, projects, or internships; demonstrated attention to detail and data quality
- Proficiency with Microsoft Excel (sorting, filtering, basic formulas); comfort organizing and maintaining datasets
- Ability to communicate clearly and collaborate with cross-functional partners
- Exposure to reporting and visualization tools (Power BI, Tableau, or similar) preferred
- Basic familiarity with SQL and/or Python preferred
EDUCATION REQUIREMENTS
- Currently pursuing (or recently completed) a degree in Data Science, Data Analytics, Computer Science, Engineering, Information Systems, or a related field.
SUPERVISORY RESPONSIBILITY
This role has no supervisory responsibility.
TRAVEL REQUIREMENTS
Less than 10% travel, based on business needs.
ESSENTIAL CAPABILITIES (KNOWLEDGE, SKILLS, ABILITIES AND PERSONAL ATTRIBUTES)
- Analytical Thinking & Decision Making - Identifies patterns and data-quality issues; connects information to support practical recommendations.
- Effective Communication - Communicates clearly with technical and non-technical partners; summarizes findings concisely.
- Teamwork & Collaboration - Works effectively across R&D, Operations, Quality, and Regulatory teams.
- Problem-Solving - Diagnoses issues systematically and supports solutions that improve data accuracy and process efficiency.
- Results Orientation & Accountability - Takes ownership of assigned tasks and delivers on commitments.
- Adaptability/Flexibility - Maintains effectiveness as priorities and requirements evolve.
- Continuous Improvement - Looks for ways to streamline work and improve how information is captured and maintained.
- Self-Development - Seeks feedback and learns new tools and methods to grow capability.
LOCATION OF ROLE
We are an equal opportunity employer. We do not discriminate on the basis of race, color, creed, religion, gender, sexual orientation, gender identity, age, national origin, disability, veteran status or any other category protected under federal, state, or local law. All employment is decided on the basis of qualifications, merit, and business need.
