Skill Demand Index
SQL (or Hive) — Demand & Depth Analysis
Based on 1 scored job postings out of 4,699 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L2
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Basic
Most employers want SQL (or Hive) at basic competency with practical application.
Overview
What is SQL (or Hive)?
Market context for SQL (or Hive) in the current job market
SQL (or Hive) is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for SQL (or Hive) typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for SQL (or Hive):
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L2 depth — foundational knowledge with practical application
- •Most demand comes from Data Analysis roles — 100% of all SQL (or Hive) jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with SQL (or Hive) — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used SQL (or Hive) once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 0% means most candidates have adequate SQL (or Hive) proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need SQL (or Hive) most:
Data Analysis positions drive 100% of demand. Skills commonly paired with SQL (or Hive) include Content Strategy & Optimization and Business Intelligence/Analytics.
Depth Level Distribution
Proficiency Distribution
How candidates match SQL (or Hive) requirements across 1 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
Pay Impact
How SQL (or Hive) affects compensation based on postings with disclosed salary data
Without SQL (or Hive)
$139K
Median $131K
1265 jobs
Skill Demand Insight
“SQL (or Hive) appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside SQL (or Hive)
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require SQL (or Hive)
Gap Analysis
Gap Rate Explained
How often SQL (or Hive) is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When SQL (or Hive) appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is SQL (or Hive) in demand in 2026?
Yes. SQL (or Hive) appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
What level of SQL (or Hive) do most jobs require?
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Does knowing SQL (or Hive) increase salary?
Salary data for SQL (or Hive) is still accumulating.
What other skills pair with SQL (or Hive)?
The most common pairings are Content Strategy & Optimization, Business Intelligence/Analytics, Predictive Modeling & Forecasting, Team Leadership (Analytics), Tableau (or equivalent). Strengthening these alongside SQL (or Hive) improves your fit across more positions.
What roles need SQL (or Hive) the most?
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all SQL (or Hive) jobs.
How do I improve my SQL (or Hive) level?
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against SQL (or Hive) job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my SQL (or Hive) gaps →See how your depth compares to what employers actually require
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