Researching Data Job Market - SQL project

Dive into the data job market! Focusing on data analyst roles, this project explores top paying jobs, in demand skills, and where high demand meets high salary in data analytics.

Background

To better understand the Data Analyst job market and to get familiar with various SQL queries, this project was created from Linkedin job ad data collected by lukebarousse.com.

What I Learned

Throughout this adventure, I've trained my SQL toolkit with some serious firepower:

🧩 Complex Query Crafting: Mastered the art of advanced SQL, merging tables like a pro and wielding WITH clauses for ninja-level temp table maneuvers.

📊 Data Aggregation: Got cozy with GROUP BY and turned aggregate functions like COUNT() and AVG() into my data-summarizing sidekicks.

💡 Analytical Wizardry: Leveled up my real-world puzzle-solving skills, turning questions into actionable, insightful SQL queries.

Conclusions & Insights

From the analysis, several general insights emerged:

1. Top-Paying Data Analyst Jobs: The highest-paying jobs for data analysts that allow remote work offer a wide range of salaries, the highest at $650,000!

2. Skills for Top-Paying Jobs: High-paying data analyst jobs require advanced proficiency in SQL, suggesting it’s a critical skill for earning a top salary.

3. Most In-Demand Skills: SQL is also the most demanded skill in the data analyst job market, thus making it essential for job seekers.

4. Skills with Higher Salaries: Specialized skills, such as SVN and Solidity, are associated with the highest average salaries, indicating a premium on niche expertise.

5. Optimal Skills for Job Market Value: SQL leads in demand and offers for a high average salary, positioning it as one of the most optimal skills for data analysts to learn to maximize their market value.

Closing Thoughts

This project enhanced my SQL skills and provided valuable insights into the data analyst job market. The findings from the analysis serve as a guide to prioritizing skill development and job search efforts. Aspiring data analysts can better position themselves in a competitive job market by focusing on high-demand, high-salary skills. This exploration highlights the importance of continuous learning and adaptation to emerging trends in the field of data analytics.

The question I wanted to answer through my SQL queries

  1. What are the top-paying data analyst jobs?

  1. What skills are required for these top-paying jobs?

  1. What skills are most in demand for data analysts?

  1. Which skills are associated with higher salaries?

  1. What are the most optimal skills to learn?

Tools I Used

For my deep dive into the data analyst job market, I harnessed the power of several key tools:

SQL: The backbone of analysis, allowing me to query the database and unearth critical insights.

PostgreSQL:The chosen database management system, ideal for handling the job posting data.

Visual Studio Code: Used for database management and executing SQL queries.

Git & HitHub: Used for version control and sharing my SQL scripts and analysis, ensuring collaboration and project tracking.

The Analysis

Each query for this project aimed at investigating specific aspects of the data analyst job market. Here's how I approached each question:

1. Top Paying Data Analyst Jobs

To identify the highest-paying roles, I filtered data analyst positions by average yearly salary and location, focusing on remote jobs. This query highlights high paying opportunities that are remote, or located in specified countries. Result here is limited to 10.

SELECT
    job_id,
    job_title,
    job_location,
    job_schedule_type,
    salary_year_avg,
    job_posted_date,
    name AS company_name
FROM
    job_postings_fact
LEFT JOIN company_dim ON job_postings_fact.company_id = company_dim.company_id
WHERE  
        job_title_short = 'Data Analyst' 
        AND
        salary_year_avg IS NOT NULL
        AND
        (
        job_location ='Anywhere' 
        OR job_location = 'Finland' 
        OR job_location = 'Sweden' 
        OR job_location = 'Norway' 
        OR job_location = 'Denmark' 
        OR job_location = 'Iceland' 
        OR job_location = 'Estonia' 
        )
ORDER BY
    salary_year_avg DESC
LIMIT 10;

Breakdown of the top data analyst job findings in this 2023 data:

Wide Salary Range: Top 10 paying data analyst jobs span from $184,000 to $650,000, indicating significant salary potential in the field. This short list is dominated by US companies, which usually pay a lot more than their European counterparts.

Diverse Employers: Various companies, such as SmarAsset, Meta, and AT&T are among those offering high salaries, showing a broad interest accross different industries.

Job Title Variety: There's a high diversity in job titles, from Data Aanlyst to Director of Analytics, reflecting varied roles and specializations within data analytics.

Bar graph visualizing the salary for the top 10 salaries for data analysts; this image was created with Tableau.

2. Skills for Top Paying Jobs

To understand what skills are required for the top-paying jobs, I joined the job postings with the skills data, providing insights into what employers value for high-compensation roles.

WITH top_paying_jobs AS (
    SELECT	
        job_id,
        job_title,
        salary_year_avg,
        name AS company_name
    FROM
        job_postings_fact
    LEFT JOIN company_dim ON job_postings_fact.company_id = company_dim.company_id
    WHERE
        job_title_short = 'Data Analyst' AND 
        job_location = 'Anywhere' AND 
        salary_year_avg IS NOT NULL
    ORDER BY
        salary_year_avg DESC
    LIMIT 10
)
SELECT 
    top_paying_jobs.*,
    skills
FROM top_paying_jobs
INNER JOIN skills_job_dim ON top_paying_jobs.job_id = skills_job_dim.job_id
INNER JOIN skills_dim ON skills_job_dim.skill_id = skills_dim.skill_id
ORDER BY
    salary_year_avg DESC;

Here's the breakdown of the most demanded skills for the top 10 highest paying data analyst jobs in 2023:

SQL is leading with a bold count of 8.

Python follows closely with a bold count of 7.

Tableau is also highly sought after, with a bold count of 6.

Other skills like R, Snowflake, Pandas, and Excel show varying degrees of demand.

Table listing the counts, generated with Tableau

3. In-Demand Skills for Data Analysts

This query helped identify the skills most frequently requested in job postings, directing focus to areas with high demand.

SELECT 
    skills,
    COUNT(skills_job_dim.job_id) AS demand_count
FROM job_postings_fact
INNER JOIN skills_job_dim ON job_postings_fact.job_id = skills_job_dim.job_id
INNER JOIN skills_dim ON skills_job_dim.skill_id = skills_dim.skill_id
WHERE
    job_title_short = 'Data Analyst' 
    AND job_work_from_home = True 
GROUP BY
    skills
ORDER BY
    demand_count DESC
LIMIT 5;

Here's the breakdown of the most demanded skills for data analysts in 2023

SQL and Excel remain fundamental, emphasizing the need for strong foundational skills in data processing and spreadsheet manipulation.

Programming and Visualization Tools like Python, Tableau, and Power BI are essential, pointing towards the increasing importance of technical skills in data storytelling and decision support.

Skills | Demand Count

SQL 7291

Excel 4611

Python 4330

Tableau 3745

Power BI 2609

Table of the demand for the top 5 skills in data analyst job postings

4. Skills Based on Salary

Exploring the average salaries associated with different skills revealed which skills are the highest paying.

SELECT 
    skills,
    ROUND(AVG(salary_year_avg), 0) AS avg_salary
FROM job_postings_fact
INNER JOIN skills_job_dim ON job_postings_fact.job_id = skills_job_dim.job_id
INNER JOIN skills_dim ON skills_job_dim.skill_id = skills_dim.skill_id
WHERE
    job_title_short = 'Data Analyst'
    AND salary_year_avg IS NOT NULL
    AND job_work_from_home = True 
GROUP BY
    skills
ORDER BY
    avg_salary DESC
LIMIT 25;

Here's a breakdown of the results for top paying skills for Data Analysts:

High Demand for Big Data & ML Skills: Top salaries are commanded by analysts skilled in big data technologies (PySpark, Couchbase), machine learning tools (DataRobot, Jupyter), and Python libraries (Pandas, NumPy), reflecting the industry's high valuation of data processing and predictive modeling capabilities.

Software Development & Deployment Proficiency: Knowledge in development and deployment tools (GitLab, Kubernetes, Airflow) indicates a lucrative crossover between data analysis and engineering, with a premium on skills that facilitate automation and efficient data pipeline management.

Cloud Computing Expertise: Familiarity with cloud and data engineering tools (Elasticsearch, Databricks, GCP) underscores the growing importance of cloud-based analytics environments, suggesting that cloud proficiency significantly boosts earning potential in data analytics.

SkillsAverage Salary ($)pyspark208,172bitbucket189,155couchbase160,515watson160,515datarobot155,486gitlab154,500swift153,750jupyter152,777pandas151,821elasticsearch145,000

Table of the average salary for the top 10 paying skills for data analysts

5. Most Optimal Skills to Learn

Combining insights from demand and salary data, this query aimed to pinpoint skills that are both in high demand and have high salaries, offering a strategic focus for skill development.

SELECT 
    skills_dim.skill_id,
    skills_dim.skills,
    COUNT(skills_job_dim.job_id) AS demand_count,
    ROUND(AVG(job_postings_fact.salary_year_avg), 0) AS avg_salary
FROM job_postings_fact
INNER JOIN skills_job_dim ON job_postings_fact.job_id = skills_job_dim.job_id
INNER JOIN skills_dim ON skills_job_dim.skill_id = skills_dim.skill_id
WHERE
    job_title_short = 'Data Analyst'
    AND salary_year_avg IS NOT NULL
    AND job_work_from_home = True 
GROUP BY
    skills_dim.skill_id
HAVING
    COUNT(skills_job_dim.job_id) > 10
ORDER BY
    avg_salary DESC,
    demand_count DESC
LIMIT 25;

| Skill ID | Skills | Demand Count | Average Salary ($) |

| 8 | go | 27 | 115,320 |

| 234 | confluence | 11 | 114,210 |

| 97 | hadoop | 22 | 113,193 |

| 80 | snowflake | 37 | 112,948 |

| 74 | azure | 34 | 111,225 |

| 77 | bigquery | 13 | 109,654 |

| 76 | aws | 32 | 108,317 |

| 4 | java | 17 | 106,906 |

| 194 | ssis | 12 | 106,683 |

| 233 | jira | 20 | 104,918 |

Table of the most optimal skills for data analyst sorted by salary

Here's a breakdown of the most optimal skills for Data Analysts in 2023:

High-Demand Programming Languages: Python and R stand out for their high demand, with demand counts of 236 and 148 respectively. Despite their high demand, their average salaries are around $101,397 for Python and $100,499 for R, indicating that proficiency in these languages is highly valued but also widely available.

Cloud Tools and Technologies: Skills in specialized technologies such as Snowflake, Azure, AWS, and BigQuery show significant demand with relatively high average salaries, pointing towards the growing importance of cloud platforms and big data technologies in data analysis.

Business Intelligence and Visualization Tools: Tableau and Looker, with demand counts of 230 and 49 respectively, and average salaries around $99,288 and $103,795, highlight the critical role of data visualization and business intelligence in deriving actionable insights from data.

Database Technologies: The demand for skills in traditional and NoSQL databases (Oracle, SQL Server, NoSQL) with average salaries ranging from $97,786 to $104,534, reflects the enduring need for data storage, retrieval, and management expertise.

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