Product Data Analyst

Stuller, Inc.; Lafayette (LA); On-site; USD 60,000 - 85,000; Full time

Job summary

Stuller, Inc. in Lafayette, LA is seeking an onsite Product Data Analyst to strengthen data integrity across product information. The role partners with cross-functional teams to ensure accurate, complete data supporting operations and data-driven decisions.

You will analyze data quality, perform audits, resolve discrepancies, and use Oracle, Oracle PIM, P360, and Excel to maintain and improve data. This position emphasizes governance, documentation, and continuous improvement.

Qualifications

• Analyze product data to spot inconsistencies and opportunities to improve data quality.
• Conduct audits and validations of product attributes to support accuracy.
• Investigate data discrepancies and collaborate with partners to resolve issues.
• Monitor data quality metrics and report to stakeholders.
• Use Oracle, Oracle PIM, P360, and Excel for data analysis and maintenance.

Responsibilities

• Analyze product data to spot inconsistencies, missing details, and opportunities to improve data quality.
• Conduct routine audits and validations of product attributes to support accuracy and completeness.
• Investigate data discrepancies and collaborate with business partners to resolve issues.
• Monitor product data quality metrics and report results to stakeholders.
• Support data maintenance by documenting findings and requirements.

Skills

Analytical skills

Problem solving

Attention to detail

Multitasking

Communication skills

Organizational skills

Continuous improvement

Excel proficiency

Education

Bachelor’s degree in Business, Analytics, Operations, Computer Science, or related field

Tools

Oracle

Oracle PIM

P360

Excel

Job description

Stuller, Inc. is hiring an onsite Product Data Analyst in Lafayette, LA. This role helps strengthen data integrity by ensuring product information is accurate, consistent, and complete. If you like partnering across teams and turning data quality insights into practical improvements, this position supports reliable product information for business operations and data-driven decision-making.

What you’ll do

• Analyze product data to spot inconsistencies, missing details, and opportunities to improve overall data quality.
• Conduct routine audits and validations of product attributes, specifications, and related data to support accuracy and completeness.
• Investigate data discrepancies and collaborate with business partners to resolve issues and keep product information current.
• Monitor product data quality metrics and report results to stakeholders.
• Support data maintenance by documenting findings, corrective actions, and business requirements.
• Work with teams including Manufacturing, Product Design & Development, Procurement & Planning, Merchandising, Quality Assurance, and others to validate product information.
• Follow established data governance standards, procedures, and best practices.
• Share findings and recommendations clearly and in an actionable way.
• Contribute to continuous improvement efforts that enhance product data quality and operational efficiency.
• Use established Product Data systems and tools such as Oracle, Oracle PIM, and P360 for routine analysis, validation, documentation, and data maintenance, with willingness to learn new systems and processes as needed.
• Support a culture of data-driven decision-making and operational excellence.

What you’ll bring

• Strong analytical and problem-solving skills, with excellent attention to detail and a commitment to data accuracy.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong written and verbal communication skills, with experience working individually and collaboratively with technical and non-technical stakeholders.
• Strong organizational and process management skills.
• Advanced proficiency in analytics and reporting platforms, including the ability to extract, manipulate, and analyze large datasets.
• Drive for continuous improvement personally and professionally.
• Intermediate to advanced Excel skills.

Nice to have

• Bachelor’s degree in Business, Analytics, Operations, Computer Science, or a related field.
• 1–3 years of experience in analytics, product data, business operations, or a related field.
• Understanding of basic jewelry manufacturing knowledge.

Tools you’ll use

Oracle, Oracle PIM, P360, Excel