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.
10 jobs found
Data Analytics Engineer / BI Analyst (W2 Contract)
Patton Labs Inc — Dearborn, MI (Hybrid – 4 days onsite)
Business Intelligence Engineer III
Blue Origin — Space Coast, Florida, United States
Business Intelligence Engineer
Jobber — Edmonton, Alberta, Canada
Business Intelligence Engineer, North America Transportation Services
Amazon — Bellevue, Washington, United States
Business Intelligence Engineer
Adelaide Metrics — Not specified
Business Intelligence Engineer - Newtown Square, PA
Supplyone — Newtown Square, Pennsylvania, United States
Business Intelligence Analyst
Trident Consulting — Not specified
Senior Business Intelligence Engineer
Boston Dynamics — United States
Business Intelligence Analyst - Tableau
Evolver Commercial — Sf, California, United States
Senior Business Intelligence Engineer- Commission and Heap analytics
Humana — Not specified
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.