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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.


1Password uses an automated employment decision tool as a part of the recruitment process. See the latest bias audit information. A reasonable accommodation, reasonable alternative selection process, appeal or to exercise your right to opt-out of AADM may be requested by emailing nextbit@agilebits.com with subject "AI accommodation request". For additional information see our Candidate Privacy Notice.

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CEO of 1Password
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Average salary estimate

$127000 / YEARLY (est.)
min
max
$108000K
$146000K

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What You Should Know About Analytics Engineer, 1Password

At 1Password, we're on a mission to make online security as simple as possible, which is why we're looking for a talented Analytics Engineer to join our dynamic Data & Analytics Engineering team. As an Analytics Engineer, you’ll play a crucial role in scaling analytics throughout our organization, collaborating with various departments like Product, Sales, and Marketing. If you have a passion for transforming data into valuable insights and a knack for building robust data models, you’ll feel right at home with us! With a minimum of two years of experience in similar roles, proficiency in dbt and SQL, and hands-on skills in tools like Looker, you'll contribute to providing reliable metrics that help drive our strategic decision-making. Your ability to define successful analytics outcomes will be key in helping us maintain our commitment to a secure digital world. This remote position offers fantastic flexibility, and you'll have the chance to work alongside some of the industry’s best while contributing to a culture that values innovation, simplicity, and humanity. Want to unlock peace of mind with us? Join us in creating a safer online experience for everyone! With competitive salaries, excellent benefits, and an emphasis on well-being, we strive to provide a supportive and inclusive environment for all team members.

Frequently Asked Questions (FAQs) for Analytics Engineer Role at 1Password
What are the key responsibilities of an Analytics Engineer at 1Password?

As an Analytics Engineer at 1Password, you'll be building scalable analytics solutions, collaborating with multiple teams to define analytics outcomes, and designing data models. You'll play a vital role in transforming raw data into actionable insights while ensuring that our metrics are accurate and reliable.

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What qualifications are needed to become an Analytics Engineer at 1Password?

To qualify for the Analytics Engineer position at 1Password, you should have at least two years of experience in a similar role, strong technical skills in dbt and SQL, and expertise in building LookML models. Familiarity with programming languages like Python or R, version control tools, and distributed data stores will also be beneficial.

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How does 1Password support the career growth of an Analytics Engineer?

1Password is committed to supporting the growth of its employees, including Analytics Engineers. We provide a budget for training, access to 1Password University, and opportunities for learning sessions, enabling you to enhance your skills and stay ahead in your career.

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What kind of projects can I expect as an Analytics Engineer at 1Password?

As an Analytics Engineer at 1Password, you will engage in full-stack analytics development, working on projects that involve building and optimizing data models. You will also contribute to establishing best practices and drive a culture of experimental design within the Data team.

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Is remote work an option for the Analytics Engineer position at 1Password?

Yes, the Analytics Engineer position at 1Password is fully remote, allowing you the flexibility to work from anywhere within the US or Canada. We value the importance of remote work while also encouraging occasional in-person engagements to foster team collaboration.

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Common Interview Questions for Analytics Engineer
How do you approach building a scalable data model?

When asked about building a scalable data model, focus on your specific methodologies, tools you prefer, and how you ensure that the models remain maintainable and efficient. Provide examples from previous roles if possible.

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Can you explain your experience with SQL and dbt?

Discuss your hands-on experience with SQL and dbt by providing examples of complex queries you've written and specific transformations you've executed with dbt. Mention any challenges you've faced and your approach to overcoming them.

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How do you validate the accuracy of data transformations?

Highlight your experience with testing data transformations through unit tests or data quality checks. Explain your approach to identifying discrepancies and how you use version control to monitor changes.

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What techniques do you use for optimizing SQL queries?

Share your strategies for optimizing SQL queries, such as indexing, avoiding subqueries when possible, and simplifying joins. Discuss how these techniques have improved performance in past projects.

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Describe a challenging problem you've solved in your previous role as an Analytics Engineer.

Choose a significant challenge you faced in analytics and explain your thought process in addressing it. Highlight your analytical skills, collaboration with team members, and the successful outcomes as a result.

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How do you prioritize multiple tasks and projects?

Explain your method for prioritizing tasks based on deadlines, project importance, and resource availability. Showcase any tools or frameworks you use for project management.

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What is your experience with Looker and LookML?

Discuss your familiarity with Looker and how you've built LookML models. Describe a specific project where you utilized Looker to generate insights that informed business decisions.

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How do you handle communication with stakeholders?

Emphasize your communication skills by discussing ways you maintain transparency, provide updates, and gather requirements from stakeholders to ensure their needs are met effectively.

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What role does testing play in your development process?

Discuss how you integrate testing into your development workflow to maintain data integrity, share specific tools you use, and provide examples of how testing has improved project outcomes.

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Can you give an example of a successful analytics project you worked on?

Provide a detailed account of an analytics project where you played a significant role, emphasizing your contributions and the impact it had on the organization. Highlight any quantitative results achieved.

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1Password is a software technology company that streamlines online navigation by memorizing and auto-filling web forms with passwords, credit card details, and addresses at the click of a button.

307 jobs
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BENEFITS & PERKS
Dental Insurance
Flexible Spending Account (FSA)
Vision Insurance
Paid Holidays
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 23, 2025

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