Industrial Product Data Analyst

Duties & Responsibilities

• Apply knowledge of industrial product applications to classify, structure, and maintain product data across multiple industry verticals.
• Create and update accurate, complete, and consistent product information in alignment with the product roadmap, customer contractual requirements, and established quality standards.
• Analyze structured and unstructured datasets to identify patterns, data gaps, duplicates, and inconsistencies.
• Develop and maintain systematic, repeatable processes for data structuring, cleansing, validation, and quality control.
• Use Excel and, where appropriate, basic queries, scripts, regular expressions, or AI-enabled tools to improve the efficiency and accuracy of data-related activities.
• Document product-taxonomy rules, data standards, validation methods, and process improvements.
• Collaborate with team members and internal stakeholders on initiatives related to data accuracy, product taxonomy, and platform consistency.

Knowledge, Skills & Abilities

• Basic knowledge of, or exposure to, industrial product categories such as electrical, automation, pneumatic, hydraulic, manufacturing, or related technical products.
• Working knowledge of Microsoft Excel, including lookup functions, pivot tables, formulas, and data validation.
• Strong analytical, logical-thinking, and pattern-recognition skills, with the ability to identify structure within complex or unstructured datasets.
• Basic knowledge of a programming, data, or scripting tool such as SQL, Python, JavaScript, Ruby, or regular expressions is preferred.
• Strong attention to detail, patience, problem-solving, and organizational skills, with the ability to maintain accuracy during repetitive work and manage multiple projects.
• Good written and verbal English communication skills

Qualifications

• One to three years of relevant experience in a technical environment, such as research and development, manufacturing, factory operations, technical systems, product engineering, product marketing, data analysis, or technical data management.
• Bachelor’s degree in Engineering, Computer Science, Information Technology, Networking, Data Analytics, or another related technical field.
• Experience working with product information, industrial data, product taxonomy, data cleansing, or data-quality processes is preferred.

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