The BI analyst and analytics engineer roles represent the growing space between traditional data analysis and data engineering. These positions focus on building scalable, reliable data models and self-service analytics infrastructure that entire organizations can use.
13 jobs found
Founding Business Intelligence Engineer
The Public Interest Company — United States
Business Intelligence Engineer IV
Sutter Health — 2200 River Plaza Drive
Business Intelligence Engineer, Transplant Logistics
TransMedics — Andover, MA
Business Intelligence Engineer
Asurint — Cleveland, OH
Business Intelligence Engineer
Azenta — US - Plainfield, IN
Business Intelligence Data Analyst II
Advarra — United States of America, 000000
Senior Business Intelligence Engineer
Mutual of Omaha Mortgage — Irvine, CA
Business Intelligence Analyst, Pricing
The Home Depot — Atlanta, GA, USA
Senior Business Intelligence Engineer
State of Wisconsin Investment Board — 4703 Madison Yards Way, Suite 700, Madison, Wisconsin, 53705, United States
Business Intelligence Engineer
Artech — Foster City, CA
What You Need to Know
BI analysts and analytics engineers typically earn between $90,000 and $130,000 per year — a premium over traditional analyst roles reflecting the more technical skill set required. The modern analytics engineer role has emerged alongside the modern data stack: dbt for data transformation, Snowflake or BigQuery for warehousing, Looker or Metabase for visualization, and Fivetran or Airbyte for data ingestion. Employers hiring for these roles expect strong SQL skills, experience with data modeling (dimensional modeling, star schemas), version control with Git, and often some Python. The analytics engineer title is one of the fastest-growing in the data field, driven by companies wanting analysts who can also build and maintain data infrastructure. This role is an excellent path for data analysts who want to increase their technical depth and earning potential without moving into full data engineering.