https://github.com/ankush-santra/sql_projects
This repository showcases a curated collection of my SQL projects, demonstrating skills from foundational concepts like SELECT, INSERT, and ALTER to advanced techniques such as CTEs and Window Functions.
https://github.com/ankush-santra/sql_projects
cte date-functions joins postgresql postgresql-database sql sql-queries subqueries union visual-studio-code window-functions
Last synced: about 1 month ago
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This repository showcases a curated collection of my SQL projects, demonstrating skills from foundational concepts like SELECT, INSERT, and ALTER to advanced techniques such as CTEs and Window Functions.
- Host: GitHub
- URL: https://github.com/ankush-santra/sql_projects
- Owner: Ankush-Santra
- Created: 2025-01-18T16:40:30.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-01-19T06:06:26.000Z (3 months ago)
- Last Synced: 2025-03-12T09:16:02.241Z (about 1 month ago)
- Topics: cte, date-functions, joins, postgresql, postgresql-database, sql, sql-queries, subqueries, union, visual-studio-code, window-functions
- Homepage:
- Size: 3.89 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SQL Projects
# Table of Contents
- [Dataset Overview](#dataset-overview)
- [Repository Structure](#repository-structure)
- [Setup Instructions](#setup-instructions)
- [Prerequisites](#prerequisites)
- [Installation Steps](#installation-steps)
- [Troubleshooting](#troubleshooting)
- [Skills Required](#skills-required)
- [Purpose](#purpose)
- [Insights](#insights)
# Dataset Overview
This project utilizes a comprehensive dataset of global data job postings. To ensure complete reproducibility, all necessary files have been included in the repository.
## Repository Structure
The repository contains two main folders:
- **csv_files**: Contains the raw dataset files
- **sql_load**: Contains SQL scripts for table creation and data loading
## Setup Instructions
### Prerequisites
- **PostgreSQL** (recommended for full compatibility)
- **Excel** (For visualizations)
- **Note**: While other RDBMS might work due to similar SQL syntax, PostgreSQL is preferred for guaranteed functionality
## Installation Steps
- Download the ZIP file from GitHub
- Extract the contents to your desired location
- Execute the SQL scripts located in the sql_load folder
## Troubleshooting
If you encounter permission-related issues during execution, refer to the detailed troubleshooting steps provided as comments within the SQL files.
# Skills Required
To effectively understand and work with the queries in this project, you should be familiar with the following SQL concepts:
- Basic SQL Statements
- SQL Joins
- Unions
- Subqueries
- Common Table Expressions (CTEs)
- Window Functions
- And more
# Purpose
This project provides a collection of SQL queries designed to offer unique insights for **job seekers in the field of data analytics**. The queries enable users to explore the job market by analyzing key aspects such as top-paying jobs, high-demand skills, top-paying technical skills, salary trends, and more. Additionally, visualizations have been included to enhance understanding and make the data more accessible.
# Insights
This section highlights key insights derived from the SQL queries, each supported by a visualization for better understanding. While not every possible permutation and combination is covered here, I highly encourage exploring the [SQL files](/Project/) directly for a more comprehensive view.
[The Excel worksheet used for visualizations has been included for your reference.]
#### What are the top-paying data analyst jobs?
The role of a Data Analyst not only offers competitive compensation but also remains consistently in demand.
#### What skills are required for the top-paying data analyst jobs?
While specialized skills often attract higher salaries, they come with trade-offs, such as limited job availability.
#### What are the most in-demand skills for data analysts?
Tools and languages like SQL, Excel, Python, Tableau, and Power BI continue to lead as the most in-demand skills in the industry.
#### What are the top skills based on salary?
Similar to previous observations, niche technical skills consistently result in higher pay scales for professionals.
#### What are the most optimal skills to learn (aka it’s in high demand and a high-paying skill)?
Despite the complexity of the data, the conclusion remains steady: niche skills command a premium, while universally required skills like SQL and Excel offer solid but comparatively lower pay.
#### What is the month-over-month growth rate of average salaries for data analyst positions?
Job listings see a noticeable spike mid-year before tapering off toward the end of the year.
#### How does each company's data analyst salary compare to the industry average, and which companies consistently pay above the market rate?
Leading tech companies like Mantys, OpenAI, and Anthropic consistently offer salaries well above market standards, making them stand out as top-paying employers.
#### What is the salary premium for each skill compared to the running average of all data analyst positions?
Across all visualizations, the trend is clear—niche skills lead to significantly higher salaries when compared to broader, in-demand technical skills.