San Francisco, CA · Remote
$145K - $175K/yr
... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...
Quick apply
San Francisco, CA · Remote
$145K - $175K/yr
... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...
Salt Lake City, UT · Remote
$145K - $175K/yr
... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...
Quick apply
Salt Lake City, UT · Remote
$145K - $175K/yr
... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...
... research, internships, consulting engagements, or professional work * Proficiency in SQL ... Experience with econometrics, causal inference, forecasting, machine learning, or other advanced ...
Quick apply
... research, internships, consulting engagements, or professional work * Proficiency in SQL ... Experience with econometrics, causal inference, forecasting, machine learning, or other advanced ...
New York, NY · Remote
$145K - $175K/yr
... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...
Quick apply
New York, NY · Remote
$145K - $175K/yr
... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
$9.13 - $10.47
2% of jobs
$10.47 - $11.80
2% of jobs
$11.80 - $13.13
3% of jobs
$13.13 - $14.47
17% of jobs
$14.55 is the 25th percentile. Wages below this are outliers.
$14.47 - $15.80
18% of jobs
The median wage is $16.51 / hr.
$15.80 - $17.13
16% of jobs
$17.13 - $18.47
11% of jobs
$18.89 is the 75th percentile. Wages above this are outliers.
$18.47 - $19.80
20% of jobs
$19.80 - $21.13
6% of jobs
$21.13 - $22.47
3% of jobs
$22.47 - $23.80
2% of jobs
$9
$17
$23
| Aspect | Internship Causal Inference | Data Analyst |
|---|---|---|
| Required Credentials | Undergraduate or graduate in statistics, economics, or related fields | Degree in statistics, data science, or related fields |
| Work Environment | Research-focused, often in academia or research institutions | Business, corporate, or consulting settings |
| Employer & Industry Usage | Universities, research labs, tech companies | Finance, marketing, healthcare, tech companies |
| Comparison Search Intent | Understanding causal inference techniques during internships | Analyzing data to inform business decisions |
Internship Causal Inference roles focus on applying statistical methods to identify cause-effect relationships, often in research settings. Data Analyst roles involve interpreting data to support business strategies. While both require analytical skills, causal inference internships emphasize research and advanced statistical techniques, whereas data analyst positions focus on data processing and reporting.
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 roleWe'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.
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.
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.
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
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
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
