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Product Analyst Internship Jobs (NOW HIRING)

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 Analyst

Chicago, IL · 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 ...

We're seeking a curious and driven Product Operations Analyst to help us operationalize our ... Previous internships or relevant project work in a tech, startup, or marketplace environment.

Required : • 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) • SQL fluency -- complex joins, incremental computation, window functions, query ...

Required : • 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) • SQL fluency -- complex joins, incremental computation, window functions, query ...

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Product Analyst Internship information

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How much do product analyst internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for product analyst internship in the United States is $46.66, according to ZipRecruiter salary data. Most workers in this role earn between $33.17 and $57.69 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can a product analyst intern expect during their internship?

As a Product Analyst Intern, you can expect to work on projects such as analyzing user data, creating reports to track product performance, and assisting in market research to inform product decisions. You'll likely collaborate closely with product managers, engineers, and designers to gather requirements and support the development of new features. Daily tasks often include collecting and interpreting data, preparing presentations, and participating in team meetings. This hands-on experience helps interns develop analytical skills and gain exposure to the end-to-end product development process.

What is a product analyst internship?

Product Analyst Internships are entry-level positions where interns assist companies in analyzing product performance, user data, and market trends to inform product strategies. Interns typically work alongside product managers and analysts, using data analytics tools to derive insights and make recommendations. These roles provide hands-on experience with real-world datasets, helping interns develop skills in data analysis, business intelligence, and cross-functional collaboration. Product Analyst Internships are ideal for students or recent graduates interested in technology, business, and data-driven decision-making.

What is the difference between Product Analyst Internship vs Data Analyst Internship?

AspectProduct Analyst InternshipData Analyst Internship
Required SkillsProduct management, market research, data analysis, SQL, ExcelData analysis, SQL, Excel, statistical tools
Work EnvironmentProduct teams, cross-functional collaboration, tech companiesData teams, business intelligence, various industries
Industry UsageTech, e-commerce, SaaS companiesFinance, healthcare, marketing, tech

Product Analyst Internships focus on understanding product performance, user behavior, and supporting product development. Data Analyst Internships emphasize analyzing data sets to inform business decisions. Both roles require analytical skills and SQL knowledge but differ in their focus areas and collaboration environments.

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

To thrive as a Product Analyst Intern, you generally need strong analytical skills, familiarity with data analysis, and a relevant academic background such as business, economics, or computer science. Proficiency in tools like Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is commonly required. Effective communication, attention to detail, and a collaborative mindset are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support product decisions, and contribute effectively to cross-functional teams.
More about Product Analyst Internship jobs
What cities are hiring for Product Analyst Internship jobs? Cities with the most Product Analyst Internship job openings:
What are the most commonly searched types of Product Analyst jobs? The most popular types of Product Analyst jobs are:
What states have the most Product Analyst Internship jobs? States with the most job openings for Product Analyst Internship jobs include:
Infographic showing various Product Analyst Internship job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $97,052 per year, or $46.7 per hour.

Product Data Analyst

Wand

Salt Lake City, UT • Remote

$145K - $175K/yr

Full-time

Re-posted 9 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.
We are unable to sponsor, transfer, or take over sponsorship of work visas, now or in the future.

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