
Remote Analytics Engineer
Job Description
As an Analytics Engineer, you will be responsible for creating well-tested and documented end-to-end data solutions and ensuring they empower team members to make better decisions. You will work closely with the analytics team and our business stakeholders to design and develop those solutions while balancing business requirements, cost, security, and performance.
Responsibilities
Design, develop, maintain, and troubleshoot complex SQL data models in dbt.
Collaborate with business stakeholders and the BI team to design and develop end-to-end solutions — while balancing business requirements, cost, security, and performance.
Create and maintain visualizations to communicate insights effectively.
Set up tracking for PLG metrics such as activation, engagement, and retention.
Help create and run pricing experiments.
Ensure the quality of our data by writing tests, and debugging inaccuracies and inconsistencies.
Participate in code reviews to promote a high standard of work across the team.
Job Requirements
You have 2+ years of experience in analytics or a similar role that involves generating insights for business stakeholders, exploring data, SQL data modeling, and statistical analysis.
You have 2+ years of hands-on experience with dbt and a Data Warehouse such as BigQuery or Snowflake.
You can extract requirements from complex business questions. You know how important iterating on analyses is, to stay close to business needs.
You have strong instincts and judgment about the business implications of data analysis, as you collaborate with business stakeholders at all levels of seniority to understand their data needs.
You are comfortable working with git, SQL, Python, and dev environments. You pride yourself on writing performant, easy-to-read SQL.
You know how important QA and building trust in data is.
You care about details and have a mature attitude to documentation, security, and process — all of which are important and inform everything we do.
You have worked in a SaaS company before.
You write and speak English well. You prefer to over- vs under-communicate. You like transparency, openness, and asking questions.