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Pim Data Analyst Jobs (NOW HIRING)

United Airlines

ND · On-site

$76K/yr

... analysis, and problem resolution. * Perform break/fix activities, defect remediation, and minor ... Data governance principles * System design and data modeling * Experience supporting STEP ...

Marmon

Automotive Catalog Data Analyst

Concord, NC · On-site

... Analyst to join our productdata team. This role is critical to supporting new product launches and ... Proficiency with PIM systems (e.g., PartCat) and a working knowledge of fitment data, attributes ...

Kaav Inc.

PRODUCT DATA SPECIALIST

Saint Charles, MO · On-site

Provide training and support to team members on PIM system usage and best practices. Required Skills : Product Management,Data Analysis Basic Qualification : Additional Skills : Data Analyst ...

GPC - Genuine Parts Company

$84K - $106K/yr

Manage application data, digital assets, and content within GPC PIM, ensuring accuracy ... Naturally an analytical thinker who employs strong problem-solving skills with an owner mentality

Order.co

Data Strategy & Sourcing Analyst

The analyst will partner closely with Data, Catalog Setup, and Vendor Operations to align data ... Experience working with Product Information Management (PIM), Master Data Management (MDM), or ...

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How much do pim data analyst jobs pay per year?

As of Jul 21, 2026, the average yearly pay for pim data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

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 is a Pim analyst?

A PIM (Product Information Management) analyst is responsible for managing and maintaining product data within a PIM system to ensure accuracy, consistency, and completeness across sales channels. They often work with tools like PIM software, data standards, and collaborate with marketing and product teams to optimize product information. Strong analytical skills and attention to detail are essential for this role.

What is the highest paying data analyst job?

Senior data analyst roles, especially those involving advanced skills in SQL, Python, or R, and experience with big data tools like Hadoop or Spark, tend to offer the highest salaries. Positions such as data science managers or analytics leads often have higher compensation, particularly in industries like finance, technology, and consulting.

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.

Is 40 too late for data science?

For a Data Analyst or data science role, starting a career at 40 is possible, as many skills such as programming, statistics, and data visualization can be learned at any age. Experience, transferable skills, and continuous learning are often valued more than age in the industry.

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 jobs make $1,000,000 a year?

In the field of data analysis, including roles like a PIM Data Analyst, earning $1,000,000 annually is rare and typically requires senior-level positions, extensive experience, or executive roles such as Chief Data Officer or Data Science Director. High earnings may also come from consulting, stock options, or bonuses in large organizations. Most data analysts earn significantly less, with top-tier salaries reaching into the high six figures or low seven figures in exceptional cases.
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Pim Data Analyst jobs near you
Infographic showing various Pim Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior STEP Developer (Stibo STEP MDM/PIM)

Senior STEP Developer (Stibo STEP MDM/PIM)

MethodHub

Chicago, IL • On-site

Other

Posted 12 days ago

Job description

Bisoftllc is looking for a experienced Senior STEP Developer to support and enhance the Stibo STEP Master Data Management (MDM)/Product Information Management (PIM) platform. The ideal candidate will be responsible for designing, developing, optimizing, and supporting complex STEP configurations, workflows, integrations, and business rules while ensuring platform stability and operational excellence.

This role combines both application development and production support responsibilities, requiring strong technical expertise, problem-solving skills, and collaboration with business stakeholders, architects, support teams, and vendors.

Your Role

Provide production support for the Stibo STEP platform, including incident management, root cause analysis, and problem resolution.

Perform break/fix activities, defect remediation, and minor enhancements while meeting established SLAs.

Monitor application health, troubleshoot performance issues, and ensure platform stability and availability.

Coordinate with business users, offshore teams, and third-party vendors to resolve production issues.

Participate in release deployments, change management activities, post-production validation, and on-call support rotations.

Develop and maintain knowledge articles, operational runbooks, and support documentation to improve service delivery.

Design, develop, and implement advanced STEP workflows, UI configurations, and process automations.

Develop, optimize, test, and troubleshoot JavaScript Business Rules within the STEP platform.

Lead platform enhancements, continuous improvement initiatives, and major system upgrades.

Build and maintain integrations using REST/SOAP APIs and structured data formats such as XML and JSON.

Ensure solutions are scalable, maintainable, secure, and aligned with enterprise architecture standards.

Collaborate with business stakeholders to translate complex business requirements into technical solutions.

Participate in technical design reviews and architecture discussions.

Document platform configurations, integrations, data flows, and technical designs.

Mentor junior developers and promote development best practices across the team.

Required Skills

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

7–10 years of experience in MDM/PIM solution development.

Strong hands-on experience with the Stibo STEP platform, including:

Workflow development

Web UI configuration

JavaScript Business Rules

Data modeling and configuration

Strong proficiency in:

JavaScript

XML

JSON

REST/SOAP APIs

Solid understanding of:

Master Data Management (MDM)

Product Information Management (PIM)

Data governance principles

System design and data modeling

Experience supporting STEP applications in production environments, including enhancements, troubleshooting, performance tuning, and issue resolution.

Excellent analytical, problem-solving, communication, and documentation skills.

Ability to work effectively in cross-functional and global team environments.

Preferred Qualifications

Full lifecycle implementation experience with the Stibo STEP platform.

Experience supporting enterprise data governance and data quality initiatives.

Familiarity with SQL, relational databases, and data migration tools.

Experience with cloud-based integration and enterprise application ecosystems.

Prior consulting experience or technical leadership responsibilities.

Experience mentoring development teams and leading technical initiatives.

Required Skills

Stibo STEP MDM/PIM

STEP Workflow Development

STEP Web UI Configuration

JavaScript Business Rules

REST/SOAP APIs

XML / JSON

Data Modeling

MDM & Data Governance

Production Support

Performance Tuning

Incident & Problem Management

SQL

Nice-to-Have Skills

Data Quality Management

STEP Upgrades & Migrations

Relational Databases

Agile/Scrum Methodologies

Technical Leadership

Apply