Skill Demand Index
Data Analysis — Demand & Depth Analysis
Based on 476 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
12.6%
Demand Rate
L4
Median Depth
1.1%
Gap Rate
476
Jobs Analyzed
Advanced
Most employers want Data Analysis at lead-level proficiency, not surface awareness.
Overview
What is Data Analysis?
Market context for Data Analysis in the current job market
Data Analysis is required in 12.6% of scored job postings on ShouldApply, making it a commonly requested skill in the current job market. Employers looking for Data Analysis typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analysis:
- •Required in 12.6% of all scored postings — a solid presence across the job market
- •Employers typically expect L4 depth — architect-level, not just familiarity
- •Most demand comes from Marketing roles — 32% of all Data Analysis jobs
- •Median salary for roles requiring Data Analysis: $121K vs $130K for roles that don't — a $9K difference
What L4 means in practice:
L4 (Advanced) means solving hard problems, optimizing workflows, and mentoring others. Employers want someone who can be the go-to person for Data Analysis on their team.
This means employers aren't looking for someone who has used Data Analysis 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 1.1% means most candidates have adequate Data Analysis proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analysis most:
Marketing positions drive 32% of demand. Other and Data Analysis also frequently list Data Analysis as a requirement. Skills commonly paired with Data Analysis include SQL and Bachelor's Degree.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analysis requirements across 476 scored evaluations
Average depth: L3.9·Median depth: L4.0
Salary Correlation
Pay Impact
How Data Analysis affects compensation based on postings with disclosed salary data
With Data Analysis
$131K
Median $121K
112 jobs
Without Data Analysis
$140K
Median $130K
867 jobs
↓ $9K lower
for roles requiring Data Analysis
Skill Demand Insight
“Data Analysis appears in 12.6% of all scored jobs — placing it in the top 25% of tracked skills by demand.”
From 476 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analysis
Role Breakdown
Top Role Categories
Job categories most likely to require Data Analysis
Gap Analysis
Gap Rate Explained
How often Data Analysis is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analysis appears in a job's requirements, 1.1% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Analysis in demand in 2026?
Yes. Data Analysis appears in 12.6% of scored job postings on ShouldApply, making it a commonly requested skill in the current market. Based on 476 analyzed jobs, demand is strong across multiple role types.
What level of Data Analysis do most jobs require?
The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Does knowing Data Analysis increase salary?
Jobs requiring Data Analysis pay $9K less on average. The impact varies by role and location.
What other skills pair with Data Analysis?
The most common pairings are SQL, Bachelor's Degree, Project Management, Communication Skills, Excel. Strengthening these alongside Data Analysis improves your fit across more positions.
What roles need Data Analysis the most?
Top roles: Marketing, Other, Data Analysis, Data Science / ML. Marketing positions have the highest demand at 32% of all Data Analysis jobs.
How do I improve my Data Analysis 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 Data Analysis job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analysis gaps →See how your depth compares to what employers actually require
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