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R

Product Data Analyst

Remotivated

Remote · À temps plein

Soyez le premier à postuler

Expérience
2 ans et plus
Salaire
CAD 83,000 – CAD 116,000 / year
Ouvertures
1
Publié
il y a 8 heures
Mode de travail
Travaillez à domicile
CV
Candidature requise

Description de l'emploi

About 1Password

1Password is an expanding company with over $400 million in annual recurring revenue, recognized on the Forbes Cloud 100 list for four consecutive years and partnered with prominent brands like Oracle Red Bull Racing. Our mission is to create a secure and productive digital future by ensuring every identity is verified, sign-ins are secure, and devices trusted. We lead with a human-centered approach, trusted by over 180,000 businesses ranging from Fortune 100 companies to innovative AI firms.

Role Overview

We are seeking a Product Data Analyst to join our centralized Analytics team. This role works closely with senior analysts and cross-functional partners in Product, Engineering, and Design to analyze customer experiences, support feature analytics, generate reports, and guide data-driven decision-making. Ideal candidates will be early in their analytics careers, curious, eager to learn, and ready to tackle impactful challenges.

AI Integration

Our Analytics team uses AI to enhance data work, including accelerating SQL query development, validating insights, summarizing complex data for executives, and developing generative BI tools for stakeholder data exploration. We uphold strict data quality and human oversight standards when using AI. As a Product Analyst, you’ll gain expertise in responsible AI application alongside experienced professionals.

Responsibilities

  • Lead well-defined analytics projects with guidance from senior analysts
  • Create and maintain dashboards for monitoring product and technology team goals
  • Analyze behavioral data using tools like Amplitude to understand user interactions
  • Support feature measurement and A/B testing initiatives independently over time
  • Contribute to team knowledge sharing, documentation, and onboarding

Candidate Profile

  • Strong curiosity with motivation to question and analyze data continuously
  • Minimum two years of experience in data analytics, BI, or product analytics
  • Proficient SQL skills with independent query writing and troubleshooting ability
  • Experience with event tracking platforms such as Amplitude or Mixpanel
  • Competency in dashboard development using BI tools (Looker, Tableau, Power BI, etc.)
  • Ability to perform, interpret, and communicate diagnostic analyses effectively
  • Knowledge of A/B or A/A testing concepts for product evaluation
  • High attention to detail and data quality assurance sensibility
  • Effective communication skills to relay progress and findings to teams and stakeholders
  • Willingness to seek support, ask questions, and collaborate for problem-solving
  • Preferably beginner level knowledge of Python or R, familiarity with event taxonomy or instrumentation design, and exposure to SaaS or enterprise products
  • Familiarity with modern AI or BI applications (e.g., Omni, Claude, Dust, Hex) is a plus

Culture and Work Environment

Our culture values collaboration, transparent communication, openness to feedback, and adherence to core principles: simplicity, honesty, and people-first. We offer a demanding yet rewarding environment emphasizing continual growth, experimentation, and delivering meaningful results. Remote work is integral, though some travel for in-person engagements is expected.

Remuneration and Benefits

For Canadian candidates, the base salary ranges from 83,000 to 116,000 CAD annually, accompanied by comprehensive benefits including health, dental, retirement plans, paid time off, equity grants, and incentive programs. Our compensation aligns with fair market value and internal equity based on experience and skills.

Additional Information

We are committed to providing an inclusive, diverse, and equitable workplace welcoming all identities and backgrounds. Accommodation is available on request during recruitment. Remote work requires employment from within the home country. Background checks and AI-assisted recruitment processes are part of hiring, with options to opt out available.

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