Data Professionals Survey- PowerBI
- benlusic
- Jun 4
- 1 min read
Updated: Jun 25
Project Overview
What does the global landscape look like for modern data professionals? This interactive Power BI dashboard visualizes data from a comprehensive industry survey to explore demographic trends, salary benchmarks, workplace sentiment, and the tools driving the field forward. By transforming raw survey responses into an intuitive, single-page executive summary, this project highlights key trends in how data professionals work, live, and progress in their careers.
Link to Dashboard: Power BI
Key Insights
The Tools of the Trade: Python stands out as the undisputed favorite programming language among respondents, significantly outpacing R, JavaScript, and Java.
The Tech Entry Barrier: Breaking into the technology sector remains a notable hurdle, with over a quarter of respondents explicitly identifying the transition as difficult or very difficult.
Compensation vs. Balance: While respondents reported moderate satisfaction with their overall work-life balance (averaging 5.74 out of 10), sentiment regarding salary leaned slightly lower, landing at a 4.27 average.
Salary Benchmarks: An explicit breakdown of average salaries reveals that Data Scientists and Data Engineers command the highest compensation packages across the industry.
Technical Stack & Core Features
Data Transformation & Cleansing: Utilized Power Query to handle raw, categorical survey text data, structuring it cleanly for chronological and relational analysis.
Advanced DAX Calculations: Developed custom DAX measures, such as forcing explicit distinct counts (DISTINCTCOUNT), to isolate and track the true number of unique survey respondents across complex categorical variables.
User-Centric UI/UX Design: Implemented a modern, dark-mode dashboard layout designed to reduce cognitive load. Replaced cluttered maps and overlapping categorical text with streamlined visual alternatives—including a geographic treemap for regional distribution and horizontal bar charts to ensure text readability.
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