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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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 AziziSkills Required
- Bachelor's degree in Engineering, Computer Science, Information Technology, Networking, Data Analytics, or related technical field.
- One to three years of relevant experience in a technical environment (R&D, manufacturing, factory operations, technical systems, product engineering, product marketing, data analysis, or technical data management).
- Working knowledge of Microsoft Excel (lookup functions, pivot tables, formulas, data validation).
- Basic knowledge of industrial product categories (electrical, automation, pneumatic, hydraulic, manufacturing, or related technical products).
- Strong analytical, logical-thinking, pattern-recognition, attention to detail, problem-solving, and organizational skills.
- Good written and verbal English communication skills.
- Basic knowledge of a programming, data, or scripting tool such as SQL, Python, JavaScript, Ruby, or regular expressions.
- Experience working with product information, industrial data, product taxonomy, data cleansing, or data-quality processes.
Epicor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Epicor and has not been reviewed or approved by Epicor.
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Healthcare Strength — Health coverage (medical, dental, vision) is characterized as decent to solid, complemented by wellness resources. Company materials highlight health and wellness programming alongside core plans.
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Leave & Time Off Breadth — Flexible or unlimited PTO exists in U.S. roles, and the organization emphasizes taking time to recharge. When team norms support it, the flexibility is considered a meaningful perk.
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Retirement Support — A 401(k) with company match is available as part of the standard offering. The match level is generally viewed as modest but serviceable.
Epicor Insights
What We Do
We’re the Digital Brains of Our Customers’ Operations We help businesses stay future-ready with cognitive ERP that connects 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.
Why Work With Us
Our policies are built on mutual trust, support, and a commitment to maintaining a healthy work-life balance. That's why we encourage you to take the time off you need to rest, recharge, and reconnect.
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