Global Product Information Analyst II
Listed on 2026-06-06
-
IT/Tech
Data Analyst -
Business
Data Analyst
Embark on a career journey with Franklin Electric, where your passion meets purpose, and every day is an opportunity to make a difference in our global communities in providing access to water, fuel and electricity.
Department:
Business Operations |
Location:
US – Indiana – Fort Wayne
The Global Product Information Analyst II is responsible for managing and governing product data across the Product Information Management (PIM) system and ERP, with a focus on data quality, enrichment, governance execution, and continuous improvement of product data architecture to support omnichannel, digital, and commercial use cases. This role partners closely with Digital & eCommerce, Commercial, Product Management, IT, and regional teams to ensure product information is accurate, accessible, compliant, and consistently structured across internal systems and external channels.
Franklin Electric is a diverse team of innovators making a positive global impact since 1944. We offer innovative water solutions, ensuring access, treatment, and efficient management of this vital resource. Our commitment to excellence is reflected in our innovative products, industry leading quality products, exceptional customer service, employee development, and passion for social responsibility.
Join us to create a better future while growing professionally in a supportive environment!
What you will be doing- Lead implementation, optimization, and ongoing improvement of ERP and PIM system architecture, workflows, and integrations
- Drive global product data governance execution, including taxonomy, attribute frameworks, definitions, naming conventions, and business rules
- Ensure global data compliance and integrity by designing and maintaining audit methodologies, dashboards, and scorecards, and actively engaging product teams to close gaps
- Partner with Digital, eCommerce, and Commercial teams to ensure product information supports omnichannel requirements, SEO, and customer experience standards
- Develop scalable methods for accessing, distributing, and syndicating product data to internal systems, customer tools, and external platforms
- Monitor and coordinate global enrichment activities, providing direction and prioritization to data entry and regional resources
- Identify automation, mass‑update, and efficiency opportunities within PIM and ERP to reduce manual effort and improve time‑to‑market
- Contribute to roadmap discussions for PIM, DAM, and adjacent systems, incorporating evolving business and market requirements
- Support ad hoc data governance activities, including data quality investigations, standards definition, ownership alignment, and cross‑domain data initiatives beyond product information
- Hard‑working winners - Confident, competitive, and results‑oriented professionals who create a track record of success.
- Dedicated achievers - People who thrive in a fast‑paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.
- Effective communicators - People who can interpret information clearly and accurately to concisely communicate results and recommendations to stakeholders.
- Collaborative partner - People who build and leverage cross‑functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices.
Education and Experience
- Bachelor’s degree or equivalent experience in Product Information Management, Master Data Management, Data Architecture, Business Intelligence, Information Science, Computer Science, or a related technical discipline (required)
- 3+ years of experience working with databases and data modeling (required)
- Hands‑on experience with Product Information Management systems (strongly preferred)
- Experience supporting eCommerce, digital platforms, or data syndication use cases (preferred)
- Advanced proficiency in MS Excel, including large‑dataset analysis and data validation
- Strong knowledge of databases, data modeling, and master data concepts
- Demonstrated experience acquiring, cleansing, enriching, and governing large volumes of structured product data
- Strong proficiency in Microsoft 365 tools…
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