Business Intelligence (BI) Developer

Career Guide
Business Intelligence (BI) Developers design, build, and maintain data pipelines, models, and dashboards that turn raw data into reliable reports and insights. They translate business needs into scalable data solutions, optimize performance, and ensure data accuracy for decision-making.

Key Responsibilities

  • Translate business requirements into data models and reporting specs
  • Design and implement ETL/ELT pipelines to integrate data from multiple sources
  • Build and maintain star/snowflake schemas in data warehouses
  • Develop and optimize SQL queries, stored procedures, and views
  • Create and govern BI dashboards and reports (e.g., Power BI, Tableau)
  • Implement data quality checks, lineage, and governance controls
  • Tune report/model performance and manage refresh schedules
  • Document solutions and support ad hoc analysis and production issues

Career Progression

Can Lead To
Senior BI Developer
BI Architect / Data Warehouse Architect
Analytics Engineer
BI Manager / Analytics Manager
Transition Opportunities
Data Engineer
Data Analyst
Solutions Architect (Analytics/BI)
Product Manager (Data/Analytics)

Common Skill Gaps

Often Missing Skills
Advanced SQL and performance tuningDimensional data modeling (Kimball)Hands-on ETL/ELT tools (SSIS, Informatica, or dbt)DAX for Power BI or MDX for SSASCloud warehouse operations and cost/performance tuning
Development SuggestionsBuild an end-to-end project: ingest with dbt/SSIS into Snowflake or Redshift, model a star schema, and publish a Power BI dashboard; complete PL-300 and dbt Fundamentals to validate skills.

Salary & Demand

Median Salary Range
Entry Level$70,000–$90,000
Mid Level$95,000–$120,000
Senior Level$125,000–$155,000
Growth Trend
growing — Cloud BI adoption and self-service analytics boost demand.

Companies Hiring

Major Employers
AmazonJPMorgan Chase & Co.Deloitte
Industry Sectors
TechnologyFinancial ServicesHealthcareRetail & E-commerce

Recommended Next Steps

1
Earn Microsoft PL-300 and complete a focused SQL performance tuning course.
2
Create a GitHub portfolio with an ELT pipeline (dbt), a star schema in a cloud warehouse, and a Power BI dashboard.
3
Join BI/analytics meetups or Slack groups and schedule informational interviews with BI teams at target companies.