Brightwheel is hiring a
Staff Analytics Engineer

Summary

Join a small but mighty pod of Analytics Engineers at Brightwheel to build out a foundational data environment that can scale beyond ad-hoc analytics to automated reporting, advanced analytics, experimentation and eventually data science.

Requirements

• 6+ years of work experience as an analytics engineer, data engineer or data analyst
• 4+ years of advanced SQL scripting, within a version controlled repository, with a demonstrated ability to refactor highly complex SQL queries to optimize performance
• 3+ years of coding in dbt or similar transformation tools
• Excellent data discovery and analytical skills to manage complex business data requirements and data platforms without much guidance
• Strong communication skills with both business and technical stakeholders
• Track record of requirements gathering, solutioning and documenting data models
• Strong understanding of data quality and testing methodologies
• Experience with monitoring and/or troubleshooting ETL pipelines within Airflow / Python
• Experience working with GTM teams (Marketing, Sales, Customer Success) and third party tools such as Salesforce, Hubspot or Rev.io

Responsibilities

• Building and maintaining the data layer for our analytics stack, top to bottom
• Writing SQL in dbt to build robust, extensible, and performant data models in a cloud-based data warehouse that will drive business intelligence for the company
• Working alongside business users and data analysts, designing and building data models that unlock their data discovery and analyses
• Working with engineers to understand existing data models and implementing new data structures to unlock business insights and data comprehension for all
• Improving organizational capacity by owning data discovery and cataloging tools that create visibility into business processes, especially for non-technical users
• Troubleshooting, improving and scaling existing data models and reports

Preferred Qualifications

• 3+ years experience with data warehouse cataloging with proven ability to deliver end-to-end visibility and maximize the value of data
• 2+ years experience building data models with dbt in a cloud based data warehouse platform
• Experience in data science, building both the foundation and models required to implement machine learning solutions

Benefits

• Premium medical benefits
• Dental benefits
• Vision benefits
• Generous paid parental leave
• Flexible paid time off policy
• Monthly wellness and productivity stipend
• Learning & Development stipend