Data Analyst

Data Analyst

This job is no longer open
About Us
User Interviews helps teams make better business decisions by making user research easier, faster, and more fun. Our platform makes recruiting research participants and managing logistics—like scheduling, messaging, and incentive payouts—seamless. We support any safe and legal user test brands can dream up: moderated or unmoderated, remote or in-person.  Founded in 2015 in Cambridge, MA, User Interviews has helped launch more than 30,000 studies, connecting thousands of brands with a growing database of nearly a half-million vetted participants. We’re trusted by companies like Adobe, Spotify, and Intuit, who share in our vision of better products through regular feedback and listening to customers.

What makes this team special?
The mission of the Analytics team at User Interviews is to own all of the company’s data and to analyze it in ways that help us make better decisions. We work with every team, including Product, Marketing, Sales, Operations, and executives, across diverse data sets. As a Data Analyst, you’ll be involved throughout projects and responsible for helping us understand what's working and what isn't.

Responsibilities
-Use analytical skills to create and test hypotheses, and visualization/presentation skills to communicate results to the rest of the team.
-Help people across the company use information to make the best decisions possible. You'll uncover trends and insights that determine what our teams do next.
-Work with large data sets across multiple problem areas. This includes vetting new datasets as they come in, and developing deep intuition about how all of our data fits together. 
-Focus on automating reporting tools and dashboards.

Qualifications
Minimum: 
-Proficiency in SQL
-Knowledge of statistics and other data analysis methods
-Experience working with large, complex datasets
-Ability to verify, analyze, and present data in ways that other stakeholders can internalize

Preferred:
-Bachelor’s or Master’s in a quantitative field (e.g. Statistics, Mathematics, or Economics); professional experience in Analytics can be a replacement

Benefits
-Be part of an awesome, intellectually curious, fast-moving team
-Work remotely full-time, with a budget to set up a personal office
-401(k) with annual company contribution
-Annual Learning & Development Stipend
-Medical, Dental, and Vision Insurance
This job is no longer open
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