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Remote Product Data Management Jobs (NOW HIRING)

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Product Data Analyst

San Francisco, CA · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

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 ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Product Data Analyst

Chicago, IL · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

You will establish the vision and direction of the MDM data products created, providing hands-on ... Ability to travel up to 25% #LI-JB1 #LI-REMOTE This amount is what we reasonably believe we will ...

The position combines elements of eCommerce operations, product data management, retailer systems, packaging coordination, reporting and analytics, digital content execution, and commercial ...

You Have: * 5+ years of experience with early-stage biomedical product development * Experience ... Experience supporting or developing programs involving digital health technologies, such as remote ...

You'll partner closely with Product Managers, Operations, Engineering, Sales, Finance, and Support ... A remote first culture! * Flex PTO * Health, Dental and Vision Insurance * 13 Paid Holidays

Product Data Editor

Merrimack, NH · On-site +1

$39K - $47K/yr

If a customer is looking for a better way to manage their warehouse inventory, equip their ... Working under direct supervision of the Manager of Product Data, the Product Data Editor selects ...

Remote, US-based position. Candidates must already live in the United States. #LI-Remote"Must be ... The Director partners closely with executive leadership, Solutions Management (Product Management ...

You Have: * 5+ years of experience in early-stage biomedical product development * Experience in ... Experience supporting or developing programs involving digital health technologies such as remote ...

From world-class events that last a few weeks to mining operations and remote communities who rely ... User manuals and guides for product data management systems * Process documentation for data entry ...

From world-class events that last a few weeks to mining operations and remote communities who rely ... User manuals and guides for product data management systems * Process documentation for data entry ...

From world-class events that last a few weeks to mining operations and remote communities who rely ... User manuals and guides for product data management systems * Process documentation for data entry ...

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Remote Product Data Management information

See salary details

$51.5K

$159.4K

$197K

How much do remote product data management jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote product data management in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Product Data Management vs Remote Product Data Analyst?

AspectRemote Product Data ManagementRemote Product Data Analyst
Primary RoleManaging and maintaining product data accuracy, consistency, and completeness across platformsAnalyzing product data to generate insights, reports, and support decision-making
Skills & CertificationsData management, database skills, Excel, ERP systemsData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborates with product teams, data teams, and ITWorks with marketing, product, and analytics teams

While both roles involve working with product data, Remote Product Data Management focuses on maintaining data integrity and organization, whereas Remote Product Data Analysts interpret data to inform business decisions. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

More about Remote Product Data Management jobs
What cities are hiring for Remote Product Data Management jobs? Cities with the most Remote Product Data Management job openings:
What are the most commonly searched types of Product Data Management jobs? The most popular types of Product Data Management jobs are:
What states have the most Remote Product Data Management jobs? States with the most job openings for Remote Product Data Management jobs include:
Infographic showing various Remote Product Data Management job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 14% Part Time, 2% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Data Analyst

Product Data Analyst

Wand

New York, NY • Remote

$145K - $175K/yr

Full-time

Posted 14 days ago


Job description

Wand makes gaming magical. Through game customization and guidance, we build tools that helps players have more fun in their favorite games.

Our platform works across thousands of PC games, ensuring that great games are accessible to everyone, regardless of time constraints, skill level, or accessibility needs. We want to build the future of game assistance, and we're hoping you'll join us.

About the role

We're hiring a Product Analyst to own the metrics that matter most and chase down the questions nobody else has time for. You'll partner with Product, Growth, Marketing, and Finance — not as a service desk, but as a peer who pushes back when the question being asked isn't the right one.

This is a senior IC role. You'll set the analytical bar, define the metrics frameworks the rest of the team relies on, and run the experiments that decide what ships. Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and the decision that follows.

What you'll own

The metrics that run the business. You'll own the dashboards and definitions Product, Growth, Marketing, and Finance rely on every day. When a number moves, you'll know before anyone else — and you'll know why. You'll build in Hex, document in our spec, and enforce consistent definitions across teams.

Deep investigation. When retention dips or a funnel leaks, you won't stop at the symptom. You'll follow the thread — through cohorts, segments, the quirks of specific games — until you can name the cause and recommend a fix. You'll notice when a chart doesn't look right and you won't leave it alone.

Experimentation. You'll design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives. You'll set sample sizes, call stat sig, and write the readouts. When a result is noisy or a test is underpowered, you'll say so — even when the PM is ready to ship.

Strategic partnership. You'll work directly with our leaders on the questions that don't have obvious answers. What are players actually doing in Game Guide? Which customizations predict long-term retention? Why does Wand Pro convert better in some game categories than others? You'll frame the question, run the analysis, and deliver the recommendation.

What you'll be measured on

The decisions you unblocked. The metrics you improved. The bad ideas you killed before they shipped. The questions you answered before anyone thought to ask them.

Minimum qualifications
  • 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships)

  • SQL fluency — complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets

  • Python for analysis — pandas and statistical libraries; you don't freeze when the answer requires code

  • Experimentation chops — hypothesis testing, sample sizing, and the judgment to tell a p-value from an insight

  • A track record of moving metrics you cared about (we'll ask you to walk us through one)

  • Direct communication — you can tell a leader an uncomfortable answer without burying it in caveats

Preferred qualifications
  • Degree in a quantitative field

  • Hex, dbt, and Bigquery experience

  • Prior growth-stage consumer software or gaming experience

  • Causal inference methods (diff-in-diff, regression discontinuity, propensity matching)

  • Prior work on LTV, retention, or subscription models

  • Experience building metrics frameworks or KPI hierarchies from scratch

How we work

Fully remote, with a few hours of daily overlap across US time zones. We ship fast, write things down, and don't run meetings that could have been a Loom. We play games. You probably should, too.

Join us in building the future of PC gaming.

Wand is an equal opportunity employer. We build tools for every kind of player, and we hire the same way.

Compensation Range: $145K - $175K