США
КанадаData Intern - Product Analytics - Winter 2027
2 дн. назад
СШАКанадаTraineeRemote
product analytics
Internship role focused on supporting product analytics through data analysis to empower data-informed decision-making.
О компании
- At , 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 a 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 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 . 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.
- At , we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. The way we bring those values to life every day is guided by our Behaviors for Success .
- You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, is not for everyone . Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
Требования
- 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!
Будет плюсом
- 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 Amplitude, Looker, or Hex.
- Coursework or experience in statistics, experimentation, or A/B testing.
Условия
- We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
- 🏝 Generous PTO policy - 2.08 days per month (1.5 work weeks per 4 month term)
- 💖 Company-wide wellness days (1 per quarter)
- 🌎 Employee-led inclusion and belonging programs and ERGs
- 🏠 Remote-first environment
- 🏆 Peer-to-peer recognition through Bonusly
- 💡 University access and learning sessions
- 🥳 Monthly internship events and socials
- is part of Team True North , a comprehensive group of Canadian tech firms with performance and growth rates that match the top 1% of companies worldwide – companies with the highest probability of reaching $1 billion in annual revenue. We believe in tech for good, and establishing Canada as a preferred destination for growing careers wherever we can!
Другое
- is growing. We’ve surpassed $400M 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.
- On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision-making across . 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.
- 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.
- We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at .
- This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
- We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
- Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@ and we’ll work to meet your needs.
- Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
- Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
- uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form . For additional information see our Candidate Privacy Notice .