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Staff Analytics Engineer

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Salary

$144,500 - $171,000

Location

Remote - US

As a Staff Analytics Engineer, you will collaborate with leaders across Marketing, Sales, Finance, and Product organizations to deliver impactful data solutions. You'll also partner with Engineering to uphold a high standard of data governance.

What are some of the exciting challenges you will be working on?

  • Design and build scalable, reliable, and efficient ETL pipelines to process and transform data from various sources.
  • Collaborate with data scientists and analysts to ensure data is easily accessible, clean, and enriched for downstream analysis.
  • Develop and maintain the company's data warehouse and analytics infrastructure using best practices to support data-driven decision-making.
  • Partner with engineering teams to create and maintain data models that power key business metrics.
  • Contribute to the company's data strategy, focusing on data quality, governance, and compliance.
  • Lead efforts to implement monitoring and alerting on data pipelines to ensure the reliability and accuracy of key data assets.
  • Optimize the performance of data systems, reducing query times and ensuring data availability for critical business operations.
  • Mentor and provide technical guidance to junior analytics engineers and data team members.

What does it take to work at LastPass?

  • We value collaboration, innovation, and integrity. Our ideal candidate embraces diversity, is eager to learn, and thrives in a dynamic environment.

It's great, but not required:

  • Experience in data engineering, analytics engineering, or a similar role, preferably in the cybersecurity or tech industry.
  • Proficiency with SQL and experience working with relational databases and data warehouses (e.g., Snowflake, Databricks).
  • Familiarity with Python for data processing.
  • Experience with Kimball data modeling, data warehousing, and designing efficient, scalable data architectures.
  • Excellent communication skills and the ability to collaborate with cross-functional teams.
  • Strong problem-solving skills, attention to detail, and a proactive mindset.
  • Strong proficiency with AWS Cloud Services (S3, Redshift, EC2, Lambda, RDS, etc.).
  • Experience with Terraform or CloudFormation for infrastructure as code (IaC) in AWS environments.
  • Familiarity with CI/CD pipelines for automated data workflow deployment.
  • Experience working in an Agile environment and managing sprint-based project cycles.

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