Dashboard Developer
Career GuideKey Responsibilities
- Gather reporting requirements from business partners
- Define metrics and report logic with stakeholders
- Build dashboards and interactive reports in a business intelligence tool
- Connect dashboards to approved data sources
- Create clear and consistent visual layouts
- Test data accuracy and validate calculations
- Improve dashboard performance and load times
- Document metric definitions and dashboard usage
- Maintain and update dashboards as needs change
- Train users and provide ongoing support
Top Skills for Success
SQL
Data Visualization
Dashboard Design
Data Modeling
Metric Definition
Data Quality Testing
Business Intelligence Tools
Requirements Gathering
Stakeholder Management
Communication
Career Progression
Can Lead To
Senior Dashboard Developer
Business Intelligence Developer
Analytics Engineer
Data Analyst
Reporting Lead
Transition Opportunities
Business Intelligence Manager
Analytics Manager
Data Product Manager
Data Engineer
Common Skill Gaps
Often Missing Skills
Data ModelingMetric GovernancePerformance OptimizationData LineageUser ResearchAccessibility DesignVersion Control
Development SuggestionsBuild one portfolio dashboard end to end using a clean data model, clearly defined metrics, and documented assumptions. Add basic testing steps, optimize performance, and publish a short guide for users. Practice handling feedback by running a short review session with stakeholders and iterating on the design.
Salary & Demand
Median Salary Range
Entry LevelUSD 65,000 to 85,000
Mid LevelUSD 85,000 to 115,000
Senior LevelUSD 115,000 to 150,000
Growth Trend
Demand remains strong as companies expand self service reporting and standardize metrics across teams.Companies Hiring
Major Employers
MicrosoftAmazonGoogleSalesforceDeloitteAccentureWalmartJPMorgan ChaseUnitedHealth GroupAdobe
Industry Sectors
TechnologyFinanceHealthcareRetailManufacturingTelecommunicationsProfessional ServicesMedia and Entertainment
Recommended Next Steps
1
Choose one business intelligence tool and build three portfolio dashboards with different audiences in mind2
Strengthen SQL for joins, aggregations, and window functions3
Create a metric dictionary for a sample business and apply consistent definitions across dashboards4
Practice data modeling using a simple star schema for a reporting dataset5
Add dashboard documentation covering purpose, refresh schedule, and metric definitions6
Set up version control for dashboard assets and related queries7
Request shadowing opportunities with data engineering or analytics teams to learn data source best practices