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https://github.com/jayita11/hr-insight-dashboard-excel
The HR Insight Dashboard provides a dynamic overview of an organization's workforce. It visualizes key metrics such as department distribution, absences, and educational credentials, enabling HR professionals to make data-driven decisions and develop proactive strategies.
https://github.com/jayita11/hr-insight-dashboard-excel
data-analysis-excel excel-macros hr-analytics pivot-tables power-query slicers spreadsheet vba-excel
Last synced: 6 days ago
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The HR Insight Dashboard provides a dynamic overview of an organization's workforce. It visualizes key metrics such as department distribution, absences, and educational credentials, enabling HR professionals to make data-driven decisions and develop proactive strategies.
- Host: GitHub
- URL: https://github.com/jayita11/hr-insight-dashboard-excel
- Owner: Jayita11
- Created: 2024-07-21T06:41:49.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-08-19T05:06:54.000Z (3 months ago)
- Last Synced: 2024-08-19T06:25:04.135Z (3 months ago)
- Topics: data-analysis-excel, excel-macros, hr-analytics, pivot-tables, power-query, slicers, spreadsheet, vba-excel
- Homepage:
- Size: 1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Human Resources Dashboard Project
## Project Overview
The HR Insight Dashboard consolidates and visualizes data from multiple departments within the organization, providing a comprehensive overview of critical HR key performance indicators (KPIs) to enhance decision-making. This dashboard allows HR teams to obtain a high-level view of their operations while also exploring how specific data points interrelate. By utilizing this tool, HR professionals can identify patterns, develop proactive strategies, and quickly uncover insights that improve recruitment processes, optimize workplace management, and enhance employee performance. The dashboard is created using DAX (Data Analysis Expressions) and Power Query in Microsoft Excel, transforming raw data into actionable visualizations.
## Dataset Used
The dataset is provided in CSV format and contains rough, unprocessed data regarding employee records from 2019 to 2021. Using Power Query, the data was cleaned and transformed into an analyzable format.
## Key Steps in the Project
- **Data Extraction and Transformation**:
- Utilized Power Query to extract raw, unstructured data and transform it into structured, tabular form for better analysis and visualization.
- **Pivot Table Generation**:
- Generated pivot tables to compile and summarize key HR data, allowing for the creation of detailed and informative reports.
- **Excel Macros Development**:
- Developed a series of useful Excel macros to automate the display and concealment of job categorization cards, incorporating tabular information to enhance user interaction and data visibility.
- **Filter Automation**:
- Automated the removal of manual filters using macros and VBA, streamlining the data analysis process and improving efficiency.
- **Formula Application**:
- Applied Excel formulae, such as IF, COUNTA, and IF AND functions, to perform transition chart analysis and employee promotional analysis, ensuring accurate and insightful data representation.
## Dashboard Components
- **5 Departments with the Highest Employees**: A bar chart showcasing the top five departments based on employee count.
- **Employee Status**: Pie charts depicting the distribution of active and non-active employees.
- **Marital Status**: A doughnut chart representing the marital status distribution of employees.
- **Total Number of Employees and Salary**: A comparison chart showing employee count and salary distribution across different locations.
- **Job Distribution**: Metrics and tables for Blue Collar, Other Job, and White Collar employees.
- **Education by Employees**: Breakdown of employee education levels and gender distribution.
- **Filters**: Interactive filters for department, gender, country, products, and months to refine the dashboard data.
## Additional Insights
- **Promotions for Bachelor's Degree Holders**: Determined the number of employees needing promotion under the Bachelor's degree criteria.
- **Promotions for Doctorate Holders**: Calculated the number of employees needing promotion under the Doctorate degree criteria.
- **Salary Increments in Tech Support**: Identified employees in the Tech Support department needing salary increments based on given criteria.
- **Promotions in Sales and Marketing**: Evaluated the number of employees needing promotion in the Sales and Marketing department.
- **Total Employees by Education**: Displayed the number of male and female employees based on educational background.
- **Total Employees by Job Type and Salary**: Illustrated the number of employees by job types and corresponding salary.
- **Employee Attrition**: Analyzed the status of active and inactive employees.
- **Employees by Business Units and Salary**: Visualized the number of employees by business units and the salary distribution across these units, highlighting the transition between employee count and salary.
- **Top 5 Departments by Employee Count**: Showcased the five departments with the highest number of employees.
- **Employee Count by Gender**: Presented the distribution of employees by gender.
- **Employee Count by Job Classification**: Provided a table view of employee count by job classification and educational breakdown, making it easy to read and interpret.
## Dashboard Overview
## Technical Skills
- **DAX (Data Analysis Expressions)**: Used extensively for data manipulation and analysis.
- **Power Pivot**: Utilized for creating relationships and interactive dashboards.
- **Excel**: Used for data preparation and initial analysis.
- **Data Visualization**: Skills in designing and implementing effective visualizations.
## Soft Skills
- **Analytical Thinking**: Applied to interpret data and extract meaningful insights.
- **Attention to Detail**: Ensured accuracy and consistency in data handling and analysis.
- **Communication**: Effectively communicated insights and findings through the dashboard.
- **Problem-Solving**: Addressed data inconsistencies and optimized the dashboard for better performance.