Analytics Engineer

4 days ago

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Logo of 1Password

1Password

1Password is a leading password management and cybersecurity company that offers solutions for both individual and business customers to securely store and manage passwords, secrets, and sensitive information. With features like extended access management (XAM), 1Password empowers users to manage access to every application and web account, ensuring security across all devices with alerts for possible breaches. Trusted by over 150,000 businesses, 1Password provides comprehensive security solutions that enhance productivity by enabling easy and secure sharing of credentials and managing permissions, while maintaining high visibility and control. Their services cater to enterprises and families, providing protection from bad actors in today's SaaS-centric hybrid work environment.

501 - 1000 employees

Founded 2009

🔒 Cybersecurity

☁️ SaaS

⚡ Productivity

💰 $620M Series C on 2022-01

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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

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