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. #LI-DA1 #HYBRID About Epicor At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners . Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs. Competitive Pay & Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being. Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. Global Mobility: Comprehensive support for international relocations and permanent residency processes. Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you— that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer. Recruiter: Danial Azizi