Business Intelligence (Analytics) Engineer Job Opening in San Francisco, California Job#16858873A fast-growing, venture-backed technology company in a highly regulated industry is adding an Analytics Engineer to its San Francisco team. Data sits at the heart of the business, and this person will join a small, influential team whose work reaches every part of the company. The role centers on designing and owning the data models and pipelines that power client reporting, while laying the foundation for future machine learning and AI products. Day to day, you will untangle complex production data, strengthen data quality and reliability, and help the platform scale as larger customers come on board. You will work side by side with engineering, product, and operations partners, turning their questions into trusted, well-documented datasets and dashboards. This hybrid position is based in the San Francisco office four days a week and offers a competitive base salary plus meaningful equity.
3+ years of hands-on analytics engineering or data modeling experience at a fast-growing, venture-backed, or modern technology company
Advanced SQL skills, with experience modeling complex data in live production environments
Hands-on experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift; dbt experience is a strong plus
Bachelor's degree in computer science, mathematics, engineering, or another quantitative field
A track record of measurable impact, with the ability to clearly explain what you built and the results it delivered
San Francisco offers year-round recreation, from Golden Gate Park and the coastline to hiking, biking, and wine country just a short drive away. The Bay Area's diverse neighborhoods range from lively city districts to quieter communities in the East Bay and on the Peninsula, and the region is home to world-class universities such as UC Berkeley and Stanford. As a global center for technology and innovation, San Francisco offers unmatched career opportunities across startups and established companies alike.
Numbers & Facts
Location
San Francisco, California
Skills
Artificial Intelligence (AI)unmatched
Business Intelligenceunmatched
Cloud Computingunmatched
Computer Scienceunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Setsunmatched
Data Warehousingunmatched
Machine Learningunmatched
Mathematicsunmatched
Production Systemsunmatched
Recreationunmatched
Reporting Dashboardsunmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Startupunmatched
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