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/*
Answer: What are the most optimal skills to learn (aka it’s in high demand and a high-paying skill)?
- Identify skills in high demand and associated with high average salaries for Data Analyst roles
- Concentrates on remote positions with specified salaries
- Why? Targets skills that offer job security (high demand) and financial benefits (high salaries),
offering strategic insights for career development in data analysis
*/
-- Identifies skills in high demand for Data Analyst roles
-- Use Query #3
WITH skills_demand AS (
SELECT
skills_dim.skill_id,
skills_dim.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 salary_year_avg IS NOT NULL
AND job_work_from_home = True
GROUP BY
skills_dim.skill_id
),
-- Skills with high average salaries for Data Analyst roles
-- Use Query #4
average_salary AS (
SELECT
skills_job_dim.skill_id,
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_job_dim.skill_id
)
-- Return high demand and high salaries for 10 skills
SELECT
skills_demand.skill_id,
skills_demand.skills,
demand_count,
avg_salary
FROM
skills_demand
INNER JOIN average_salary ON skills_demand.skill_id = average_salary.skill_id
WHERE
demand_count > 10
ORDER BY
avg_salary DESC,
demand_count DESC
LIMIT 25;
-- rewriting this same query more concisely
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
{
"skill_id": 74,
"skills": "azure",
"demand_count": "34",
"avg_salary": "111225"
},
{
"skill_id": 77,
"skills": "bigquery",
"demand_count": "13",
"avg_salary": "109654"
},
{
"skill_id": 76,
"skills": "aws",
"demand_count": "32",
"avg_salary": "108317"
},
{
"skill_id": 4,
"skills": "java",
"demand_count": "17",
"avg_salary": "106906"
},
{
"skill_id": 194,
"skills": "ssis",
"demand_count": "12",
"avg_salary": "106683"
},
{
"skill_id": 233,
"skills": "jira",
"demand_count": "20",
"avg_salary": "104918"
},
{
"skill_id": 79,
"skills": "oracle",
"demand_count": "37",
"avg_salary": "104534"
},
{
"skill_id": 185,
"skills": "looker",
"demand_count": "49",
"avg_salary": "103795"
},
{
"skill_id": 2,
"skills": "nosql",
"demand_count": "13",
"avg_salary": "101414"
},
{
"skill_id": 1,
"skills": "python",
"demand_count": "236",
"avg_salary": "101397"
},
{
"skill_id": 5,
"skills": "r",
"demand_count": "148",
"avg_salary": "100499"
},
{
"skill_id": 78,
"skills": "redshift",
"demand_count": "16",
"avg_salary": "99936"
},
{
"skill_id": 187,
"skills": "qlik",
"demand_count": "13",
"avg_salary": "99631"
},
{
"skill_id": 182,
"skills": "tableau",
"demand_count": "230",
"avg_salary": "99288"
},
{
"skill_id": 197,
"skills": "ssrs",
"demand_count": "14",
"avg_salary": "99171"
},
{
"skill_id": 92,
"skills": "spark",
"demand_count": "13",
"avg_salary": "99077"
},
{
"skill_id": 13,
"skills": "c++",
"demand_count": "11",
"avg_salary": "98958"
},
{
"skill_id": 186,
"skills": "sas",
"demand_count": "63",
"avg_salary": "98902"
},
{
"skill_id": 7,
"skills": "sas",
"demand_count": "63",
"avg_salary": "98902"
},
{
"skill_id": 61,
"skills": "sql server",
"demand_count": "35",
"avg_salary": "97786"
},
{
"skill_id": 9,
"skills": "javascript",
"demand_count": "20",
"avg_salary": "97587"
}
]
*/