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Pim Data Analyst Jobs in Wisconsin (NOW HIRING)

Digital Merchandising & PIM Specialist

Muskego, WI · On-site

$109K - $109K/yr

Data Quality & Governance * Direct CRO initiatives using tools such as Microsoft Clarity and ... Analytics & Reporting • Develop and maintain dashboards for website, ecommerce, and product ...

Develop JSON-to-Excel transformation processes to support Product Information Management (PIM ... Perform profile and segment overlap analysis to identify audience conflicts and ensure optimal ...

Develop JSON-to-Excel transformation processes to support Product Information Management (PIM ... Perform profile and segment overlap analysis to identify audience conflicts and ensure optimal ...

Ecommerce Integration Developer

Appleton, WI · On-site

$48.25 - $64/hr

... CRM, PIM, DAM, payment providers, and third-party applications. * Analyze production issues ... Perform data validation, troubleshooting, and performance analysis to ensure data integrity across ...

Data, Testing & Personalization * Work in partnership with Analytics to identify customer behavior ... Experience working with PIM, DAM, and analytics platforms. * Experience supporting distributor or ...

Data, Testing & Personalization * Work in partnership with Analytics to identify customer behavior ... Experience working with PIM, DAM, and analytics platforms. * Experience supporting distributor or ...

These resources will often partner with other IT stakeholders, particularly the Data and Analytics ... PIM, Key Vault, encryption, and managed identities. • Establish AI governance controls ...

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Showing results 1-20

Pim Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do pim data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for pim data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a PIM Data Analyst?

A PIM Data Analyst is a professional who manages, analyzes, and optimizes product information within a Product Information Management (PIM) system. They ensure that product data is accurate, complete, and consistent across various channels such as e-commerce platforms, catalogs, and marketplaces. Their role often involves data cleansing, mapping, and validation, as well as collaborating with other teams to support product launches and digital initiatives. PIM Data Analysts help organizations improve data quality, streamline workflows, and enhance the customer experience by delivering reliable product information.

How does a PIM Data Analyst typically collaborate with product managers and IT teams to ensure data accuracy?

A Pim Data Analyst works closely with product managers to understand product specifications and data requirements, ensuring that all product information is accurately captured and maintained in the Product Information Management (PIM) system. The analyst also partners with IT teams to troubleshoot data integration issues, implement data quality controls, and optimize workflows. Regular cross-functional meetings and clear communication are essential for aligning on data standards and resolving discrepancies, making collaboration a key aspect of the role.

What are the key skills and qualifications needed to thrive as a PIM Data Analyst, and why are they important?

To thrive as a PIM Data Analyst, you need expertise in data management, product information systems, and analytical skills, often supported by a degree in information systems, computer science, or a related field. Familiarity with PIM platforms (such as Salsify, Akeneo, or Informatica), data integration tools, and proficiency in Excel or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These skills are essential to ensure accurate product data, streamline workflows, and support business decisions in product-driven organizations.

What is the difference between Pim Data Analyst vs Product Data Analyst?

AspectPim Data AnalystProduct Data Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; familiarity with PIM systemsBachelor's in Business, Data Analytics, or related; strong analytical skills
Work EnvironmentTypically within PIM or product information management teams, often in retail or manufacturingAcross product teams, marketing, or e-commerce departments in various industries
Employer & Industry UsageUsed by companies managing large product catalogs, especially in retail and manufacturingUsed by companies analyzing product performance, sales, and market trends

The Pim Data Analyst focuses on managing and optimizing product information within PIM systems, ensuring data accuracy for product catalogs. In contrast, the Product Data Analyst analyzes product performance data to inform business decisions. While both roles require data analysis skills, their focus areas and tools differ, making each essential for different aspects of product management and marketing.

What cities in Wisconsin are hiring for Pim Data Analyst jobs?

Cities in Wisconsin with the most Pim Data Analyst job openings:

Infographic showing various Pim Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Digital Merchandising & PIM Specialist

Inpro Corporation

Muskego, WI • On-site

$109K - $109K/yr

Full-time

Posted 22 days ago


Job description

Product Information Management (PIMLY Ownership) 

  • Serve as the primary administrator and business owner of the PIMLY platform.

·        Manage the product content lifecycle from creation through ongoing maintenance and optimization.

·        Coordinate product data collection and updates from Product Management, Product Development, Marketing, and other stakeholders.

·        Ensure product information is accurate, complete, consistent, and aligned across all digital channels.

Product Detail Page (PDP) Optimization 

  • Create, maintain, and continuously improve Product Detail Page (PDP) content.

·        Develop compelling product descriptions that clearly communicate features, benefits, applications, and customer value.

·        Maintain product attributes, specifications, dimensions, certifications, installation information, and supporting documentation.

·        Ensure PDP content aligns with customer search intent and supports ecommerce conversion goals.

Digital Asset & Image Management 

·       Manage product imagery within PIMLY and support digital asset systems.

·       Coordinate creation, optimization, and publication of product photography, lifestyle imagery, application photos, technical drawings, installation guides, product videos, BIM, and CAD resources.

·       Ensure assets meet company branding, quality, accessibility, and e-commerce standards.

SEO & Product Discoverability 

·        Establish and maintain product content standards and governance processes.

·        Conduct ongoing audits to identify missing, outdated, or inconsistent product information.

·        Ensure compliance with ecommerce, marketplace, and Google Merchant Center requirements.

·        Develop KPIs and scorecards related to product content, completeness, and quality.

·        Recommend process improvements to streamline product content workflows.

Data Quality & Governance 

  • Direct CRO initiatives using tools such as Microsoft Clarity and Salesforce dashboards to analyze user behavior, refine funnels, and improve overall user experience for specifiers and buyers.

Website & Digital Experience 

  • Manage website content updates and ongoing website improvements.

·        Support website personalization and customer experience initiatives.

·        Monitor website usability and recommend enhancements.

·        Analyze website behavior using GA4 and other digital analytics tools.

·        Conduct periodic audits for SEO, accessibility, content quality, and user experience.

Ecommerce Operations 

  • Support administration and optimization of Salesforce Commerce Cloud (SFCC).

·        Monitor ecommerce performance metrics and customer purchasing behavior.

·        Partner with Sales and Product teams to improve online merchandising.

·        Assist with testing and deployment of new ecommerce functionality.

·        Identify opportunities to improve product discoverability and conversion rates.

Analytics & Reporting 

·       Develop and maintain dashboards for website, ecommerce, and product content performance.

·       Report on product page engagement, search rankings, product content completeness, conversion rates, ecommerce performance, and organic traffic growth.

·       Translate data into actionable recommendations for stakeholders.

Cross-Functional Collaboration 

  • Partner with Product Management to launch new products and update existing product information.

·        Collaborate with Marketing Communications to ensure product messaging consistency.

·        Work with IT and external vendors to support PIMLY, website, and e-commerce enhancements.

·        Support continuous improvement initiatives across digital channels.

 

Required :

  • Bachelor's degree in Marketing, Ecommerce, Business, Communications, or related field.

·        2-5 years of experience managing product content, ecommerce, digital marketing, or website platforms.

·        Experience working in a Product Information Management (PIM) system.

·        Strong understanding of product content strategy and digital merchandising.

·        Experience with SEO and content optimization.

·        Strong organizational and project management skills.

Preferred:

  • Experience with PIMLY or other enterprise PIM platforms.

·        Salesforce Commerce Cloud (SFCC) experience.

·        Salesforce Marketing Cloud (SFMC) experience.

·        Knowledge of Google Merchant Center requirements.

·        Experience with product taxonomy and attribute management.

·        Experience managing digital assets and DAM platforms.

·        Basic HTML and CMS knowledge.

·        Experience with Google Analytics (GA4) and digital reporting.

·        Experience with SEO and content optimization