1

Product Data Jobs (NOW HIRING)

Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a ...

Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks a Product/Data Analyst to enable data-informed decisions and real-time health monitoring for WiFi products and services. The ...

We're looking for a Product Data Analyst to turn Senra's data into insight that improves both the software we build and the factory we run. This role has two sides: Product analytics - how people ...

Product Data Analyst

Westlake, TX · On-site

$35 - $42/hr

The role blends business analysis, data analysis, systems analysis, and product management to interpret complex data, modernize reporting, and drive process improvement. The analyst will partner with ...

Product Data Scientist

Manhattan, NY · On-site

$106K - $180K/yr

Reporting to the Director of Strategic Insights, the Product Data Scientist will be responsible for analyzing disparate data sources to provide recommendations that guide MCU's member-centric growth ...

We're looking for a Product Data Analyst to turn Senra's data into insight that improves both the software we build and the factory we run. This role has two sides: • Product analytics - how people ...

Product Data Analyst

Manhattan, NY · Hybrid

$103K - $128K/yr

About the Role As a Product Analyst, you will help shape how AP News uses data to improve its digital products and user experience. You will analyze how users discover, navigate and engage across web ...

We're looking for a Product Data Analyst to turn Senra's data into insight that improves both the software we build and the factory we run. This role has two sides: * Product analytics -- how people ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage to improve the player experience across our digital platforms. You'll own recurring reports ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage to improve the player experience across our digital platforms. You'll own recurring reports ...

They are seeking a Product Data Analyst to own key metrics, conduct deep investigations, and design experiments that drive product decisions and improvements. Responsibilities : • You'll own the ...

Product Data Scientist We're hiring a Product Data Scientist to own the measurement, experimentation, and analytics that shape both the product experience and how we think about credit and risk. You ...

They are seeking a Product Data Analyst to own key metrics, conduct deep investigations, and design experiments that drive product decisions and improvements. Responsibilities : • You'll own the ...

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL fluency -- complex joins, incremental computation, window functions ...

Product Data Analyst

San Francisco, CA · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL fluency -- complex joins, incremental computation, window functions ...

Product Data Analyst

Salt Lake City, UT · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL fluency -- complex joins, incremental computation, window functions ...

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Product Data Scientist Department: Data Engineering Employment Type: Permanent - Full Time Location: Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ...

Showing results 21-40

Product Data information

See salary details

$26.5K

$97.4K

$208K

How much do product data jobs pay per year?

As of Aug 7, 2026, the average yearly pay for product data in the United States is $97,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $117,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a product data analyst, and why are they important?

To thrive as a Product Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Familiarity with tools like SQL, Excel, Python or R, and data visualization platforms such as Tableau or Power BI is typically required. Excellent problem-solving ability, attention to detail, and effective communication skills help you translate data into actionable business insights. These skills ensure that product decisions are data-driven, measurable, and aligned with organizational goals.

What is a product data analyst?

A Product Data Analyst is a professional who collects, analyzes, and interprets data related to a company's products. Their main goal is to provide insights that help inform product development, marketing strategies, and business decisions. They work closely with product managers, engineers, and marketing teams to track product performance, identify trends, and recommend improvements. Product Data Analysts often use tools like Excel, SQL, and data visualization platforms to present their findings and support data-driven decision-making.

How does a product data professional typically collaborate with other departments within an organization?

Product Data professionals often work closely with teams such as Product Management, Engineering, Marketing, and Sales. Their role involves gathering, analyzing, and maintaining product information to ensure accuracy and consistency across platforms. They frequently coordinate with engineers to understand technical specifications, assist marketing with product positioning, and support sales by providing detailed product data. Regular cross-functional meetings and clear communication are essential, as collaboration is key to ensuring data quality and supporting business goals.

What is the difference between Product Data vs Product Analyst?

AspectProduct DataProduct Analyst
Primary RoleCollecting, managing, and maintaining product-related dataAnalyzing product data to provide insights and support decision-making
Skills & CertificationsData management, SQL, Excel, database knowledgeData analysis, visualization, business acumen, often SQL and Excel
Work EnvironmentData teams, product teams, IT departmentsProduct teams, marketing, business units
Industry UsageUsed across tech, e-commerce, manufacturing for data managementUsed to inform product strategy, feature development, and market analysis

Product Data focuses on managing and maintaining product-related information, ensuring data accuracy and accessibility. Product Analysts interpret this data to generate insights that influence product decisions. While Product Data roles are more technical and data-focused, Product Analysts combine data skills with business analysis to support strategic initiatives.

More about Product Data jobs
What cities are hiring for Product Data jobs? Cities with the most Product Data job openings:
What are the most commonly searched types of Product Data jobs? The most popular types of Product Data jobs are:
What states have the most Product Data jobs? States with the most job openings for Product Data jobs include:
Infographic showing various Product Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,379 per year, or $46.8 per hour.

Product Data Analyst

Loloi Rugs

Dallas, TX • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.


Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @loloirugs.com email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.


We are building a Business Operations Center of Excellence, and we need a Jr. Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.


Responsibilities

  • Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
  • Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
  • Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
  • API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
  • Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
  • Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.


What You Will NOT Do (The Boundaries)

  • No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
  • No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
  • No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.


Intersection with Technical Teams

  • With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
  • With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.


Experience, Skills, & Ability Requirements

  • 1-3+ years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
  • SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
  • API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
  • Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
  • You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
  • You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.


Bonus Points (Nice-to-Haves)

  • Familiarity with Visio/Lucidchart to visualize data flows.
  • Ability to build simple dashboards in Tableau to track data health scores.
  • Basic familiarity with Python or R for data manipulation.


What We Offer

  • Health, dental, and vision benefits
  • Paid parental leave
  • 401(k) with employer match
  • A culture of meritocracy that fosters ongoing growth opportunities
  • A stable, growing family-owned company that looks after its employees


Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.