Data Intern - Product Analytics - Winter 2027

1Password · Remote · Remote (United States | Canada) ·
Fully remoteInternshipJunior0–1 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Winter 2027 Internship
  • Fully remote (CA/US)
  • 4-month duration
  • SQL + Looker
  • Product Analytics

Join the Product Analytics squad at 1Password to help surface actionable insights from user and product data. You will collaborate with data science and engineering partners to define metrics, improve data quality, and build self-serve reporting tools that empower cross-functional teams.

What you'll do

  • Partner with analytics and product teams to define success metrics and measurement plans
  • Analyze telemetry data to identify usage trends and improvement opportunities
  • Communicate findings through written analyses and presentations to stakeholders
  • Build or enhance dashboards and reports using SQL, Looker, Amplitude, and Hex
  • Support data quality initiatives and validate telemetry for reliability

What you'll need

  • Willingness to take on new challenges and see them through to completion
  • Humility to ask questions and learn from mistakes
  • Curiosity to seek better ways of doing things
  • Strong teamwork and collaboration skills

Nice to have

  • Basic familiarity with machine learning or advanced statistical methods
  • Working knowledge of SQL
  • Experience with Python or R for analysis
  • Familiarity with Amplitude, Looker, or Hex
  • Coursework in statistics, experimentation, or A/B testing

Stack

  • SQL
  • Looker
  • Amplitude
  • Hex
  • Python
  • R

How you'll work

  • Remote-first environment based in Canada or US
  • Four-month term from January to April 2027
  • Travel required for annual offsites and team meetings

What you get

  • Generous PTO policy with 2.08 days per month
  • Quarterly company-wide wellness days
  • Access to 1Password University and learning sessions
  • Monthly internship events and socials
  • Peer-to-peer recognition through Bonusly

Hiring process

  • Initial screening may use AI and machine learning technologies
  • Live interviews conducted without AI tool assistance
  • Background check required upon successful application