ZipRecruiter

Log In

1

Product Analytics Internship Jobs (NOW HIRING)

Wand

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 ...

Wand

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 ...

next page

Showing results 1-20

All JobsProduct Analytics JobsProduct Analytics Internship Jobs

Product Analytics Internship information

See salary details

$16

$22

$41

How much do product analytics internship jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for product analytics internship in the United States is $22.87, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $22.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Analytics Intern, and why are they important?

To thrive as a Product Analytics Intern, you need strong analytical skills, familiarity with statistics, and a background in data science, mathematics, or a related field. Proficiency in SQL, data visualization tools (like Tableau or Looker), and experience with analytics platforms such as Google Analytics or Mixpanel are commonly required. Strong communication, curiosity, and the ability to collaborate with cross-functional teams are standout soft skills. These skills are crucial for extracting actionable insights, effectively communicating findings, and driving data-informed product decisions.

What types of projects or tasks can I expect to work on during a Product Analytics Internship?

As a Product Analytics Intern, you can expect to work on projects such as analyzing user behavior data, creating dashboards and reports, and supporting A/B testing initiatives. You'll often collaborate with product managers, engineers, and data scientists to gather requirements and deliver actionable insights that drive product decisions. Interns typically use tools like SQL, Excel, and analytics platforms (e.g., Google Analytics, Mixpanel) to process data and visualize trends. This hands-on experience provides a strong foundation for understanding how data informs product strategy and user experience improvements.

What is a Product Analytics Internship?

A Product Analytics Internship is a temporary, entry-level position where students or recent graduates assist a company's product team by analyzing data related to product usage, performance, and user behavior. Interns help collect, interpret, and visualize data to inform product decisions, identify trends, and recommend improvements. This role offers hands-on experience with analytical tools, exposure to product development processes, and collaboration with cross-functional teams. It's a great way to gain practical skills in data analysis and to understand how data-driven insights impact product strategy.

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

AspectProduct Analytics InternshipData Analyst Internship
Required SkillsData analysis, product metrics, SQL, Excel, basic statisticsData analysis, SQL, Excel, statistics, visualization tools
Work EnvironmentTech companies, product teams, startup environmentsVarious industries, finance, healthcare, tech companies
Employer UsageUsed in product teams to improve user experience and featuresUsed across departments for business insights and reporting

Product Analytics Internships focus on analyzing product data to improve user experience and product features, often within tech companies. Data Analyst Internships have a broader scope, involving data interpretation across various industries. Both roles require similar technical skills but differ in their application and industry focus.

More about Product Analytics Internship jobs
What cities are hiring for Product Analytics Internship jobs? Cities with the most Product Analytics Internship job openings:
What are the most commonly searched types of Product Analytics jobs? The most popular types of Product Analytics jobs are:
What states have the most Product Analytics Internship jobs? States with the most job openings for Product Analytics Internship jobs include:
What job categories do people searching Product Analytics Internship jobs look for? The top searched job categories for Product Analytics Internship jobs are:
Product Analytics Internship jobs near you
Infographic showing various Product Analytics Internship job openings in the United States as of June 2026, with employment types broken down into 44% Full Time, 55% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $47,572 per year, or $22.9 per hour.
Product Data Analyst

Product Data Analyst

Wand

Chicago, IL • Remote

$145K - $175K/yr

Full-time

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.

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