This project presents an interactive Power BI dashboard designed to analyze a survey on data professionals, originally conducted by AlexTheAnalyst. The dashboard provides key insights into various aspects of data careers, from satisfaction levels to career transitions and preferences.
To visualize and explore key trends and opinions within the data profession, helping individuals and organizations understand factors like job satisfaction, career mobility, salary expectations, and preferred tools.
The Data Profession - Survey Analysis dashboard is structured with various visualizations to provide a comprehensive overview:
- Work/Life Satisfaction & Salary Satisfaction Gauges: These gauges offer a quick visual summary of overall satisfaction levels among data professionals regarding their work-life balance and compensation.
- Opinion Pie Charts:
- Ease of Transition into Data: A pie chart illustrating surveyed individuals' opinions on the difficulty of moving into a data role.
- Most Important Factors for New Job: A pie chart breaking down the key factors people prioritize when seeking a new job in the data field.
- Bar Graphs:
- Average Salary by Profession: A bar graph comparing average salaries across different data professions (e.g., Data Analyst, Data Scientist, Data Engineer).
- Preferred Programming Language: A bar graph showcasing the most popular programming languages among data professionals.
The dashboard is highly interactive, allowing users to slice and dice the data using various filters to gain granular insights:
- Age Groups
- Ethnicities
- Industries
- Genders
- Professions
- Switched into Data (Yes/No)
- Highest Level of Education
The data for this dashboard is derived from a comprehensive survey conducted by AlexTheAnalyst.
To explore this interactive dashboard and gain insights:
- Locate and download the
.pbix(Power BI Desktop File) from this GitHub repository. - You will need Power BI Desktop installed on your computer to open and interact with the file.
By leveraging this dashboard, you can gain valuable insights into the data profession, understand key satisfaction drivers, career transition challenges, and popular technical skills.
