Data Professional Analysis is a data analytics project focused on analyzing survey responses collected from data professionals across different roles, experience levels, and regions.
The primary goal of this project is to convert raw survey data into meaningful insights that can help understand:
- Career trends in data-related roles
- Salary distribution across professions
- Tools and technologies commonly used in the industry
- Job satisfaction and work-life balance patterns
This project follows a real-world analytics approach, similar to how survey data is analyzed in professional business environments.
Below is a snapshot of the interactive Power BI dashboard created for this project:
The key objectives of this project are:
- To clean and structure raw survey data for analysis
- To explore career and salary trends among data professionals
- To identify popular tools and technologies used in the industry
- To present insights using an interactive and user-friendly dashboard
- To demonstrate practical skills in Excel and Power BI
The dataset used in this project consists of survey responses from individuals working in data-related roles.
File used:
Survey_Analysis.xlsx
Key attributes in the dataset include:
- Job role
- Years of experience
- Salary range
- Preferred tools and technologies
- Job satisfaction indicators
Excel was used as the initial data processing tool:
- Data cleaning and formatting
- Handling missing, null, and inconsistent values
- Preparing structured data for visualization
- Basic exploratory data analysis
Power BI was used to build the final analytical solution:
- Importing cleaned Excel data
- Designing interactive dashboards for insights
- Added slicer for role and Gender to get personalized Dashboard
- Survey data was collected and stored in Excel format.
- The dataset contained both categorical and numerical fields.
- Removed duplicate and irrelevant entries
- Standardized column names and data formats
- Handled missing values to ensure analysis accuracy
- Analyzed role distribution and salary trends
- Identified patterns in tool usage
- Explored job satisfaction metrics
- Imported the cleaned dataset into Power BI
- Created calculated columns and measures using DAX
- Designed a logical data structure for analysis
- Built interactive visuals such as bar charts, cards, and slicers
- Enabled filters for role, experience, and other parameters
- Focused on clarity, readability, and business storytelling
The Power BI dashboard provides:
- High-level KPIs summarizing survey insights
- Role-wise and experience-wise salary comparisons
- Tool usage distribution across professionals
- Interactive filters for deeper analysis
📌 Open
Data survey viz.pbixin Power BI Desktop to explore the dashboard.
- Certain data roles consistently earn higher salary ranges
- Tool preference varies significantly across job roles
- Most professionals enter data careers through non-linear paths
- Job satisfaction tends to increase with role clarity and experience
- Data Cleaning & Preparation
- Exploratory Data Analysis (EDA)
- Data Modeling & DAX
- Data Visualization & Storytelling
- Business Insight Generation
- Clone the repository
git clone https://github.com/rahii19/Data_professional_Analysis.git