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Data Intern - Product Analytics - Winter

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: 1Password LLC
Part Time, Apprenticeship/Internship position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, AI Business & Operations, AI Evaluation
Salary/Wage Range or Industry Benchmark: 67000 - 89000 USD Yearly USD 67000.00 89000.00 YEAR
Job Description & How to Apply Below
Position: Data Intern - Product Analytics - Winter 2027

Location:

Canada;
United States

1

Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.

About 1

Password

At 1

Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today.

As one of the most loved brands in cybersecurity, we take the human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1

Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

If you’re excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast‑paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.

The Product Analytics leverages product data to surface actionable insights about our users and products, empowering data-informed decision‑making across 1

Password. The Product Analytics squad brings together Product Analytics, Data Science, Analytics Engineering, and Data Engineering partners. We collaborate with product teams and cross‑functional stakeholders to define success metrics, improve telemetry and data quality, build self‑serve reporting, and translate product behavior into clear recommendations.

This is a remote opportunity within Canada/US. This position will be for 4 months - January to April 2027.

How we’re using AI today

On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision‑making across 1

Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure‑testing assumptions to turning complex inputs into clear executive‑level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes.

What you can expect:
  • Partner with Product Analytics and Data Science team members and product partners to define questions, success metrics, and measurement plans.
  • Analyze product usage and telemetry data to identify trends, opportunities, and areas for improvement.
  • Communicate findings clearly through written analyses, presentations, and recommendations for product and cross‑functional teams.
  • Build or improve dashboards, reports, and self‑serve analyses using tools such as SQL, Looker, Amplitude, and Hex.
  • Support data quality and telemetry validation, helping ensure product data is reliable and well understood.
What we’re looking for:
  • Confidence: A willingness to take on new challenges, and see them through to completion.
  • Humility:
    You’re not afraid to ask "stupid" questions and make mistakes (as long as you learn from them).
  • Curiosity:
    You look for better ways of doing things, even if everyone seems happy with how they are.
  • Teamwork:
    We work together, and succeed as a team!
Bonus points for:
  • Basic familiarity with machine learning or advanced statistical methods.
  • Working knowledge of SQL.
  • Experience with Python or R for analysis.
  • Familiarity with product analytics or BI tools such as…
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