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https://github.com/ndleah/people-data-analysis
👥 Employee analysis #DWD
https://github.com/ndleah/people-data-analysis
analytics data-analysis data-science historical-data materialized-view slow-changing-dimension sql
Last synced: about 1 month ago
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👥 Employee analysis #DWD
- Host: GitHub
- URL: https://github.com/ndleah/people-data-analysis
- Owner: ndleah
- Created: 2021-06-29T05:10:28.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-09-14T18:31:03.000Z (over 3 years ago)
- Last Synced: 2024-01-26T10:11:25.590Z (11 months ago)
- Topics: analytics, data-analysis, data-science, historical-data, materialized-view, slow-changing-dimension, sql
- Language: SQL
- Homepage: https://www.datawithdanny.com
- Size: 3.47 MB
- Stars: 17
- Watchers: 1
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
[](https://github.com/ndleah)
[](https://github.com/ndleah?tab=repositories)
# People Data Analytics 
> This case study is contained within the [Serious SQL](https://www.datawithdanny.com) by [Danny Ma](https://www.linkedin.com/in/datawithdanny/).
# 📕 Table of contents
* 🛠️ [Requirements](#️-requirements)
* 📂 [Data Overview](#-data-overview)
* 🚀 [Solution](#-solutions)
* 🧙♂️ [Result](#️-result)
# 🛠️ Requirements
**HR Analytica** team requires 2 separate analytical views to be created using a single SQL script for two separate data assets that can be used for reporting purposes.
A current snapshot of the information is required to power **HR Analytica**’s People Analytics dashboard and Employee Deep Dive shown above.
The following data requirements is as follows:
### **1. Dashboard Data Components**
Click to view
🌟 **Company Level Insights**
* Total number of employees
* Average company tenure in years
* Gender ratios
* Average payrise percentage and amount
🌟 **Department Level Insights**
* Number of employees in each department
* Current department manager tenure in years
* Gender ratios
* Average payrise percentage and amount
**Title Level Insights**
* Number of employees with each title
* Minimum, average, standard deviation of salaries
* Average total company tenure
* Gender ratios
* Average payrise percentage and amount
A historic data asset is also required by **HR Analytica** so their People Analytics team can perform deep dives into a specific employee’s history. This analysis is used for decision making when it comes to pay rises and promotions.
### **2. Deep Dive Data Components**
Click to view
🌟 **Individual Employee Deep Dive**
* See all the various employment history ordered by effective date including salary, department, manager and title changes
* Calculate previous historic payrise percentages and value changes
* Calculate the previous position and department history in months with start and end dates
* Compare an employee’s current salary, total company tenure, department, position and gender to the average benchmarks for their current position
# 📂 Data Overview
[](https://github.com/ndleah/HR-Analytics-Using-SQL/tree/main/1_Data_Exploration)
# 🚀 Solutions
[](https://github.com/ndleah/HR-Analytics-Using-SQL/tree/main/2_Problem_Solving)
# 🧙♂️ Result
## Final Output
Hooray! Finally, this is what out final input looks like:
### ✅ **People Analytics Dashboard**
Source: Serious SQL
### ✅ **Employee Deep Dive**
Source: Serious SQL
# ✨ Contribution
Contributions, issues, and feature requests are welcome!
To contribute to Patronify, see the GitHub documentation on **[creating a pull request](https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request)**.
# 👏 Support
Give a ⭐️ if you like this project!
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© 2021 Leah Nguyen