This Power BI report provides a visual breakdown of insights collected from a survey of data professionals across different regions and roles. It helps explore trends in salaries, career entry difficulty, favorite tools, and job satisfaction levels.
- Power BI Report:
Data Professional Survey.pbix - Data Source:
Power BI - Final Project.xlsx
The goal of this dashboard is to visualize and analyze:
- Global distribution of survey takers
- Average salary by data-related job titles
- Favorite programming languages among professionals
- Perceived difficulty of entering the data field
- Work-life balance and salary satisfaction ratings
Visualizes the geographic distribution of professionals, with significant responses from India, the US, UK, and Canada.
Shows salary comparisons between roles such as:
- Data Scientist (highest on average)
- Data Engineer
- Data Architect
- Data Analyst
- Student/Job Seekers
Pie chart summarizing responses on how hard it was to start a career in data:
- Majority found it “Neither easy nor difficult”
- Some found it “Difficult” or “Very Difficult”
Bar chart showing most preferred languages:
- Python is the most favored
- Followed by R, SQL, Java, and others
Two key gauges reflect:
- Happiness with Work/Life Balance: Avg. score ~5.74 / 10
- Happiness with Salary: Avg. score ~4.27 / 10
The report is based on the Excel dataset Power BI - Final Project.xlsx, which contains responses from 630 survey participants with an average age of 29.87 years.
- Open
Data Professional Survey.pbixin Power BI Desktop. - Review the dashboards and interact with filters for deeper insights.
- Optionally, connect it to refreshed data or publish to Power BI Service.
- Power BI Desktop (latest version recommended)
- All data is static unless connected to a live refresh.
- Designed for recruiters, educators, analysts, and anyone exploring the data career landscape.