Analytics Engineer

About 1Password:

We all have important information we need to manage, and protecting it should be easy. Over 150,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. Come help us unlock peace of mind so everyone can stay safer online.

As an Analytics Engineer, you will be a member of the Data & Analytics Engineering team, building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Analytics, Engineering, Product, Go To Market/Sales, Marketing, Finance and other business areas to build scalable solutions to transform data into key metrics, reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth.

This is a remote opportunity within Canada and the US.

What we're looking for:

• Minimum of 2+ years of experience as a Analytics Engineer, Data Engineer or in a similar role with a proven track record in shipping canonical datasets
• Minimum of 2+ years technical experience leveraging dbt and SQL for data transformation
• Minimum of 2+ years building LookML models in Looker (or equivalent experience in other Business Intelligence tools with a semantic layer) 
• Proficiency in at least one functional/OOP language such as Python or R
• Proficiency in version control (e.g., Git) and command-line tools
• Familiarity with leveraging distributed data stores (e.g. S3, Trino, Hive, Spark)
• Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster)
• Experience in writing unit tests to validate data products and version control (e.g. GitHub, Stash)
• Experience solving ambiguous problem statements in an early stage environment

What you can expect:

• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design & build data models
• Full stack analytics engineering development, building models to consume, transform, and expose data to stakeholders and production systems
• Drive a culture of experimental design, testing agenda, and best practices
• Contribute to the culture of 1Password’s Data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
• Collaborate with Analytics, Business, Product, Engineering and Data Infra teams to develop roadmaps and measure success
• Work closely with Data Engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action

USA-based roles only: The annual base salary for this role is between $108,000 USD and $146,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

Canada-based roles only: The annual base salary for this role is between $95,000 CAD and $129,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

We believe in the power of remote work, but we also recognize that in-person connection is sometimes important to help us achieve our mission. While we are a remote-first company, occasional travel for in-person engagement will be a part of this role. 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. These events will typically be held in varying locations across Canada and the US.

What we offer:

We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer:

Health and wellbeing

> 👶 Maternity and parental leave top-up programs

> 👟 Wellness spending allowance

> 🏝 Generous PTO policy 

> 💖 Company-wide wellness days off scheduled throughout the year 

> 🧠 Wellness Coach membership

> 🩺 Comprehensive health coverage

 Growth and future 

> 📈 Company equity for all full-time employees

> 💸 Retirement matching program

> 💡 Training budget, 1Password University access, and learning sessions 

> 🔑 Free 1Password account (and friends and family discount!) 

Flexibility and community

> 🤝 Paid volunteer days 

> 🌎 Employee-led DEIB programs and ERGs and ECGs

> 🏠 Fully remote environment

> 🏆 Peer-to-peer recognition through Bonusly

You belong here.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

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@agilebits.com 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 1Password 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.