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Pim Data Analyst Jobs in Riverside, CA (NOW HIRING)

Monoprice Inc.

Ecommerce Manager

Brea, CA · On-site

Ability to understand and translate website analytical data (CTR, CR, BR, and others) * Demonstrable experience leading and managing SEO/SEM * Experience with GA4, Tableau, BI tools, ERP systems, PIM ...

Axos Bank

Sr Systems Engineer - Azure

Irvine, CA · Hybrid

$120K - $150K/yr

... AI and data lake initiatives. The right candidate is a well-rounded senior engineer who has ... Manage Privileged Identity Management (PIM) including role activation policy, access reviews for ...

AFL

Construction Manager, Wireless (DAS)

Tustin, CA · On-site

Analytical Thinking - Exceptional ability to analyze data and utilize it to make sound business ... Working knowledge of test equipment including PIM testing, sweep analyzers, circuits, OTDR and ...

New

All JobsPim Data Analyst JobsPim Data Analyst Jobs in Riverside, CA

Pim Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do pim data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for pim data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 are popular job titles related to Pim Data Analyst jobs in Riverside, CA?

For Pim Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Pim Data Analyst jobs in Riverside, CA look for?

The top searched job categories for Pim Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Pim Data Analyst jobs?

Cities near Riverside, CA with the most Pim Data Analyst job openings:

Pim Data Analyst jobs near you
Infographic showing various Pim Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Ecommerce Manager

Monoprice Inc.

Brea, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Please note that this role is hybrid to our Brea, CA location.

The eCommerce Manager is responsible for the profitable growth and overall performance of assigned product categories on Monoprice.com. This position serves as the business owner for assigned categories and is accountable for sales, gross margin, inventory productivity, assortment strategy, pricing, promotions, merchandising, and customer experience. The role works cross-functionally with Product Management, Supply Chain, Finance, Marketing, Content, Retail, Marketplace, and Sales teams to achieve corporate objectives. 

The ideal candidate would be self-sufficient, able to thrive in ambiguity and constant change, expert in ecommerce strategies and roadmaps, and can drive results across business and technical teams. 

Essential Functions and Responsibilities 

  • •    Own category revenue, gross margin, contribution profit, and inventory productivity for assigned product categories.

    •    Develop annual, quarterly, monthly, and daily promotional business plans to achieve financial objectives.

    •    Monitor sales, margin, conversion, traffic, average order value, inventory turns, and in-stock performance.

    •    Manage category assortment strategy, including product introductions, rationalization, end-of-life planning, and lifecycle management.

    •    Lead product launch execution including pricing, inventory readiness, merchandising, content, and promotional planning.

    •    Develop and maintain competitive pricing strategies balancing profitability, competitiveness, inventory position, and market demand.

    •    Analyze competitive landscape, customer behavior, market trends, tariffs, landed costs, and freight impacts.

    •    Partner with Supply Chain and Product Management to forecast demand and improve inventory availability.

    •    Identify and execute strategies to reduce excess inventory and improve inventory health.

    •    Own onsite merchandising including category pages, product placement, search optimization, navigation, cross-sell opportunities, and promotional placement.

    •    Ensure product content, imagery, specifications, attributes, and merchandising presentation meet company standards.

    •    Partner with Marketing to execute promotional campaigns and merchandising initiatives.

    •    Leverage analytics tools to identify growth opportunities and business risks.

    •    Prepare business reviews and recommendations for leadership.

    •    Support strategic projects and other duties as assigned.


    KPI(s):

    •    Revenue vs Goal and Forecast

    •    Gross Margin % and Margin Dollars

    •    Contribution Margin % and Contribution Margin Dollars

    •    Inventory Turns and Inventory Productivity

    •    In-Stock Rate and Backorder Performance

    •    Website Conversion Rate

    •    Average Order Value (AOV)

    •    Promotional Performance

    •    Category Traffic and Sales Growth

    •    Content Quality and Product Readiness


QUALIFICATIONS

Education & Experience

    • BA in business related major is required. Master’s degree is a plus 
    • Must have 6+ previous years of on -hands experience managing ecommerce operations or sites
    • Ability to understand and translate website analytical data (CTR, CR, BR, and others)
    • Demonstrable experience leading and managing SEO/SEM
    • Experience with GA4, Tableau, BI tools, ERP systems, PIM systems, or similar platforms.
    • Avid user of AI and agentic workflows
Other Skills and Abilities
  • Must have Advanced level of Excel, Word, and Outlook 
  • Must have Advanced level of mathematics 
  • Must have business acumen and be able to interpret data and make business decisions 
  • Must have ability to prioritize tasks and understand business urgency 
  • Must have the ability to problem solve without supervision 
  • Must be extremely detail oriented and able to see projects to completion without supervision 

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