Manufacturing Master Data Analyst (Job # Req 2026-052) at Ross Video

South Dundas, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

04 Mar, 26

Salary

0.0

Posted On

04 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ERP, Manufacturing, Supply Chain, Engineering, Data Analysis, Excel, Auditing, Problem Solving, Collaboration, Documentation, Automation, BI Tools, SQL, PLM, MES, Attention to Detail

Industry

Broadcast Media Production and Distribution

Description

Why Work at Ross Video? We have a great group of people working together to create and deliver cutting edge products that look amazing and are easy to use. We go all out so that our customers can have the best possible experience and achieve quality results. With a product focus, continual learning, results driven processes, and creative thinking, we constantly strive to improve our solutions and to deliver results. If you've ever watched live television, news, sports, or entertainment, you've seen our products in use. All of the major Hollywood award shows, most professional sports teams, and many of the largest broadcasters in the world use Ross Video technology. Get behind the scenes and learn about what it takes to make live events possible. If that resonates, and you’re someone with integrity, commitment, and a strong drive to deliver great products, we’d love to hear from you. Join us onsite, in our manufacturing facility nestled in rural Ontario, located in Iroquois, just 1 hour south of Ottawa. In this role your expertise will directly strengthen our new ERP environment and fuel operational excellence. As a Manufacturing Master Data Analyst, you’ll ensure the accuracy, structure, and reliability of the manufacturing data that powers our systems. You’ll work closely with Manufacturing, Engineering, IS/ERP, Supply Chain, and our Product Data Entry Team to build a clean, consistent, and scalable electronic data environment. If you enjoy solving problems, improving processes, and making complex systems work smarter, this is a key role in our digital evolution. Who you report to: Vice President, Manufacturing Engineering & Technology What You’ll Do Master Data & Quality Oversight Ensure manufacturing master data is complete, accurate, and aligned across ERP, PLM, MES, and analytics systems. Audit item records, flag discrepancies, and support automations that detect rule-set violations. Troubleshoot data issues and drive root cause identification. ⁠Build or support automations that detect data and rule-set exceptions. Support & Collaboration Act as the primary resource for item setup questions, rule clarification, and issue escalation. Partner with cross-functional teams to ensure consistent application of data logic and setup standards. Data Rules & Governance Maintain documentation on item structures and dependencies. ⁠Drive improvements in how the organization defines, validates, and governs data. Identify gaps or unclear rules and collaborate to refine business logic and governance practices. Reporting & Continuous Improvement Conduct recurring audits and deliver actionable data quality reports. Work with BI/IS to develop automated checks and dashboards. Support resolution of routing, work order, and status discrepancies connected to master data. Testing & System Changes Participate in ERP testing cycles and validate data logic or workflow changes. Contribute to UAT scripts to ensure accurate system functionality. Required Skills & Experience Technical & Functional 2+ years of ERP experience in manufacturing, supply chain, or engineering (Infor LN a plus). Strong understanding of item masters, routing data, and product-related ERP fields. Familiarity with PLM, MES, or similar systems. Proficient in Excel (VLOOKUP, filters, pivots) and basic data analysis. Experience conducting data audits or validating against defined rules. Exposure to ERP testing or UAT processes. Education Diploma or degree in Business Administration, Supply Chain, Industrial Engineering, Information Systems, Manufacturing Technology, or equivalent experience. Preferred (Not Required) SQL experience for ERP or data warehouse queries. Familiarity with BI tools (Power BI, Looker, Tableau). Understanding of manufacturing data structures (routings, operations, MES identifiers). Experience with low-code/automation tools (Power Automate, SharePoint Flows). Traits for Success Analytical & Problem-Solving Excellent attention to detail and ability to trace issues to root cause. Comfortable distinguishing between data, process, and system errors. Effective at documenting logic, solutions, and findings. Experience partnering with data entry, engineering, supply chain, or similar teams. Solid written communication for rules, audits, and user guidance. Ability to explain ERP concepts to non-technical users and escalate effectively. Process-oriented, organized, and committed to maintaining clean, structured data flows. Curious and eager to understand how manufacturing and ERP systems interact. Able to manage recurring tasks and audits with minimal oversight. Equity, Diversity & Inclusion At Ross, we embrace diversity, and we want you to bring your authentic self to work. We are committed to building a team that includes a variety of backgrounds, perspectives, and skills. Inclusivity drives innovation and creativity, and that’s something we’re passionate about at Ross! We believe everyone should be able to enjoy a rewarding career at Ross, regardless of race, colour, religion, sexual orientation, gender, gender identity or expression, marital status, age, veteran status, physical or mental disability. If a disability means that you need any additional support during the recruitment process, please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request.

Responsibilities

As a Manufacturing Master Data Analyst, you will ensure the accuracy, structure, and reliability of the manufacturing data that powers our systems. You will work closely with various teams to build a clean, consistent, and scalable electronic data environment.