For those who love combining coding with data visualization and see beauty in well-structured data models.”
About This Role
Designing and developing business intelligence solutions and data models.
A Day in the Life
Build and maintain data pipelines, develop BI reports and dashboards, model data for analytics, and ensure data quality across the reporting layer.
- Develop Power BI/Tableau reports
- Write and optimize SQL queries
- Build ETL pipelines for data warehouses
- Model dimensional data schemas
- Maintain data quality checks
- Deploy and version BI solutions
- Collaborate with analysts on requirements
Work Environment
Technical and collaborative. Works with data engineers and analysts. More development-focused than consulting.
Typical hours: 45h/week · WLB score 7/10 · RARE overtime
Good balance. Crunch during data migrations or releases.
Skills Required
Technical Skills
Soft Skills
Tools & Software
Salary in Sri Lanka (LKR / month)
Typical progression: 2yr to mid · 5yr to senior
Global Salary (USD / year)
Top Markets
Market Outlook
GROWING
Demand growing as businesses build internal data teams. Sri Lankan tech companies actively hiring.
Hiring: HIGH
GROWING
Strong global demand for Power BI and cloud data platform developers.
Entry Requirements
Sri Lanka
Preferred
Global
Preferred
Helpful Certifications
Entrepreneurship & Freelancing
Freelance earnings: $25–$70/mo (USD)
Platforms (SL)
Business Ideas
- BI development agency
- Data dashboard SaaS
Side Income Ideas
Good freelance opportunities via Upwork for international BI projects.
Risks & Challenges
AI / Automation Risk
LOW
LONG TERM
Burnout Risk
LOW
Job Security (SL)
HIGH
Complex modelling and custom development remain manual.
Burnout Causes
Physical Health Risks
Mental Health Risks
How to Mitigate
- Learn cloud BI platforms
- Master DAX and data modelling
- Stay updated on Microsoft Fabric
Is This Career For You?
Students who love databases and want to see direct business value from their work.
Personality Types
Core Motivations
What You'll Love
- High demand
- Good salaries
- Remote work opportunities
What's Challenging
- Data quality problems
- Complex requirements
- Legacy systems