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Merchandise Data Analyst Jobs in Riverside, NJ (NOW HIRING)

Burlington Stores

Sr. Merchandising Analyst

Burlington, NJ · On-site

$86K - $113K/yr

A Day In The Life Solve business problems using data-driven models * Take business problem and ... consulting, or merchandise planning is preferred * Experience with Statistical Analysis is ...

Dollar Tree

Merchandise Planner

Philadelphia, PA

... Strong analytical mindset with the ability to interpret data and translate insights into ... merchandising environments • Advanced proficiency in Excel or data visualization tools • ...

Fedway

Digital Merchandiser

Mount Laurel, NJ

$46K/yr

Fedway Associates is seeking a Digital Merchandiser to join our team. This role is at the forefront ... Analyze captured data to provide actionable insights on product placement, shelf space optimization ...

Fedway

Digital Merchandiser

Mount Laurel, NJ · On-site

$46K/yr

Fedway Associates is seeking a Digital Merchandiser to join our team. This role is at the forefront ... Analyze captured data to provide actionable insights on product placement, shelf space optimization ...

KG Tiger

eSolution Analyst

Wayne, PA

Use data to understand key growth drivers, and use data-driven insights to recommend features and ... merchandising or ecommerce 3. Experience with web development, eContent, SEO, ecommerce or other ...

Judge Group, Inc.

Data Architect

Burlington, NJ · On-site

$120K - $140K/yr

Leads the development of data architectures in Enterprise Data and Analytics projects with domains focused but not limited to Merchandising, Supply Chain, Store Operations, Marketing & Strategy ...

Burlington Stores

Data Architect

Beverly, NJ · On-site

$61.75 - $79.50/hr

Leads the development of data architectures in Enterprise Data and Analytics projects with domains focused but not limited to Merchandising, Supply Chain, Store Operations, Marketing & Strategy ...

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All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in Riverside, NJ

Merchandise Data Analyst information

See Riverside, NJ salary details

$34.3K

$83.5K

$137.4K

How much do merchandise data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for merchandise data analyst in Riverside, NJ is $83,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $98,000.00 per year, depending on experience, location, and employer.

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What does a Merchandise Data Analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

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

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

How does a Merchandise Data Analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.
What job categories do people searching Merchandise Data Analyst jobs in Riverside, NJ look for? The top searched job categories for Merchandise Data Analyst jobs in Riverside, NJ are:
What cities near Riverside, NJ are hiring for Merchandise Data Analyst jobs? Cities near Riverside, NJ with the most Merchandise Data Analyst job openings:
Merchandise Data Analyst jobs near you

Data Analyst

KERRIDGE COMMERCIAL SYSTEMS CORP

Blue Bell, PA • On-site

Full-time

Posted 9 days ago

Job description

"At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."

Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade – wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively.

Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We’re looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication.

The QA Data Analyst maintains and assures the quality of Klipboard’s automotive catalog data, making sure parts, vehicle, labour and interchange information is accurate, complete and ready for customers to use. Working as a fully competent individual contributor, the role loads, reviews and validates catalog data, extracts and transforms information from industry-standard formats such as ACES and PIES, and resolves data-quality issues with limited supervision. Success looks like catalog content customers can trust – high coverage, few defects, and timely updates that reflect changes across the automotive aftermarket. Day to day, the role works within a catalog data operations team using Excel, relational databases and catalog configuration systems, and partners with product, development and customer-facing colleagues to keep data standards high. As a mid-level (P3) role, it balances hands-on data-quality delivery with growing automotive-industry and technical expertise.

Key Responsibilities:

Role Accountabilities

  • The areas below show where a mid-level (P3) QA Data Analyst makes the greatest impact – fully competent in day-to-day catalog data quality and working with limited supervision.

Key Activities and Contributions

  • Load, review and prioritise automotive catalog data updates so parts, vehicle and interchange information stays accurate and complete.
  • Extract and validate data from ACES and PIES XML feeds.
  • Verify labour and specification data, component diagrams and part interchange.
  • Maintain part types and product categories within the catalog.
  • Publish and recommend retained parts based on data review.

Systems, Tools and Technology

  • Use Excel and data-analysis tools to cleanse, review and validate large volumes of catalog data.
  • Perform catalog configuration tasks – installation, basic setup, part search and user emulation.
  • Develop and apply scripts and tools for data conversion using intermediate data-transformation techniques.
  • Query and analyse complex data structures across relational databases.
  • Apply ACES, PIES and Partslink catalog standards in day-to-day work.

Technical and Professional Expertise

  • Apply strong data literacy – data concepts, terminology and structures – to catalog data.
  • Analyse data trends and patterns to identify and resolve quality issues.
  • Demonstrate intermediate database knowledge and data-transformation capability.
  • Apply sound automotive parts knowledge and a developing understanding of industry trends and market dynamics.
  • Understand tire-data fundamentals, terminology and processes, using intermediate tools to acquire and amend tire product data.

Core Responsibilities and Contributions

  • Ensure catalog data is accurate, complete and fit for customer use.
  • Investigate, prioritise and remediate data-quality issues with limited supervision.
  • Conduct quality assurance across both the catalog system and the underlying data.
  • Uphold data-quality standards and governance across all deliverables.
  • Maintain rigorous attention to detail in all data entry and analysis.

Customer Experience

  • Respond to routine customer data queries accurately and promptly.
  • Ensure catalog content meets customer needs and reduces coverage gaps.
  • Contribute to customer satisfaction through reliable, trustworthy catalog data.
  • Key Outcomes and Activities High-quality, high-coverage catalog data delivered to schedule.
  • Reduced data defects and faster resolution of data issues.
  • Accurate ACES/PIES extraction, quality assurance and publication.
  • Consistent application of QA processes across catalog projects.

People, Collaboration & Culture

  • Collaborate with product, development and customer-facing teams to align catalog data with requirements.
  • Communicate complex data clearly to non-technical colleagues.
  • Share knowledge and support more junior analysts.
  • Contribute to a culture of accuracy, accountability and continuous improvement.

Additional Responsibilities (as aligned to company job architecture)

  • Understand the roles of manufacturers, suppliers, distributors and retailers across the aftermarket.
  • Stay informed of industry changes – mergers and acquisitions, private-label supplier changes and emerging technologies.
  • Identify product-relevant industry and tire-data trends.
  • Use AI tools to improve data quality and productivity, in line with Klipboard’s approach to AI.


Key Relationships (Internal and external)

Internal

  • Product and Catalog teams
  • Development and Engineering teams
  • Data and QA colleagues, including the team lead
  • Customer support teams

External

  • Customers raising catalog and data queries
  • Data suppliers and industry data sources (for example ACES/PIES providers and Partslink)

Interaction is mainly collaborative and service-oriented, providing practical advice on data quality.

Skills, Knowledge and Experience:

  • Solid data literacy – understanding of data concepts, terminology and structures.
  • Proficiency in Excel and data-analysis tools to review and validate large data sets.
  • Intermediate relational-database knowledge and data-transformation skills (for example SQL and scripting for data conversion).
  • Experience extracting and validating structured data such as XML feeds (ACES/PIES or equivalent).
  • Strong analytical skills with a high level of accuracy and attention to detail.
  • Knowledge of automotive parts and their functions, or equivalent product-data domain experience.
  • Clear written and verbal communication, including explaining complex data to non-technical colleagues.
  • Able to work as a fully competent individual contributor with limited supervision.

Preferred Qualifications and Experience

  • Familiarity with automotive catalog standards (ACES, PIES and Partslink).
  • Understanding of automotive industry trends and market dynamics.
  • Tire-data experience, including tire industry terminology and data-acquisition tools.
  • Experience with catalog configuration systems.
  • Exposure to verifying component diagrams, interchange and labour/specification data.
  • AI Fluency – Klipboard is embracing AI at pace across our products and ways of working. We’re looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes, and who are open to learning and adapting as this space evolves.

What Success in This Role Looks Like

  • Catalog data is consistently accurate, complete and delivered on schedule, with measurably fewer defects and coverage gaps.
  • ACES and PIES data is extracted, quality-assured and published reliably with minimal rework.
  • Customer data queries are resolved accurately and promptly, supporting positive customer feedback.
  • You operate independently on complex catalog-data tasks, needing only limited supervision.
  • Across the first 30/60/90/120 days you build strong product, industry and technical knowledge and begin improving data-quality processes.

Company Info

You may also have seen from our recent posts that we are excited to begin sharing our new company name – Klipboard. Kerridge Commercial Systems (KCS) is becoming Klipboard and our new brand is designed to bring together our expertise across distribution, automotive, retail, rental, transport management, manufacturing, and field service management. We have offices based across the world and we are looking for talented individuals to join our growing teams. Due to our growth over the last few years it is an exciting time to join us as we enter our next chapter! At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."

Equal Opportunities

As a global company, we value and respect the diversity of our workforce, aiming to empower everyone to embrace each other's differences. We are committed to creating an inclusive workplace where diversity, equity, and inclusion are integral to our company and culture. We recognize the benefits of a diverse workforce, where creativity and valuing differences enable us all to thrive and sparks innovation.

If you require any help, adjustments and/or support during the interview and offer process then please advise our TA or HR team.

Research shows that women and other underrepresented groups are less likely to apply for a role unless they meet every listed requirement. However, we recognise that skills and experience come in many forms, and we encourage you to apply even if you don’t meet every criterion. If you are passionate about this role and believe you have the right mindset and transferrable skills, we would love to hear from you!

To all recruitment agencies: Klipboard does not accept agency speculative resumes. At present we only accept CV’s from Agencies on our PSL who have been assigned specific position/s. Please do not forward resumes to our careers site or direct to Klipboard employee as this does not constitute an introduction and Klipboard retrospectively will not be liable for any candidate ownership or fees related to unsolicited resumes.

#LI-Hybrid