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.
27 jobs found
Business Intelligence Engineer
. Crane Worldwide Logistics . — Houston, Texas, United States
Staff Business Intelligence Data Analyst
Jamf — United States
Sr Business Intelligence Analyst
Post Consumer Brands — Lakeville, Minnesota
Business Intelligence Engineer II
Kafene — Not specified
Senior BI Analyst
IGEN — 222 W College Ave, Appleton, WI
Senior Business Intelligence Analyst
MCKESSON — Richmond, Virginia, United States
Senior Business Intelligence Analyst
Flywire1 — Boston, Massachusetts, United States
Business Intelligence Engineer
AnswersNow — Not specified
Senior Business Intelligence Developer - Tableau
Magellan Health — Not specified
Senior Business Intelligence Engineering and Data Manager
Safelite — Columbus, Ohio, United States
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.