Skill Demand Index
Data Analysis Experience — Demand & Depth Analysis
Based on 10 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.3%
Demand Rate
L3
Median Depth
10%
Gap Rate
10
Jobs Analyzed
Basic
Most employers want Data Analysis Experience at basic competency with practical application.
Overview
What is Data Analysis Experience?
Market context for Data Analysis Experience in the current job market
Data Analysis Experience is required in 0.3% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analysis Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analysis Experience:
- •Required in 0.3% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L3 depth — foundational knowledge with practical application
- •Most demand comes from Data Analysis roles — 70% of all Data Analysis Experience jobs
What L3 means in practice:
L2 (Basic) means you’ve built small things with Data Analysis Experience — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Data Analysis Experience 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 10% means most candidates have adequate Data Analysis Experience proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analysis Experience most:
Data Analysis positions drive 70% of demand. Other and HR / Recruiting also frequently list Data Analysis Experience as a requirement. Skills commonly paired with Data Analysis Experience include SQL and Python.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analysis Experience requirements across 10 scored evaluations
Average depth: L2.6·Median depth: L2.5
Salary Correlation
Pay Impact
How Data Analysis Experience affects compensation based on postings with disclosed salary data
Without Data Analysis Experience
$139K
Median $130K
977 jobs
Skill Demand Insight
“Data Analysis Experience appears in 0.3% of all scored jobs.”
From 10 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analysis Experience
Role Breakdown
Top Role Categories
Job categories most likely to require Data Analysis Experience
Gap Analysis
Gap Rate Explained
How often Data Analysis Experience is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analysis Experience appears in a job's requirements, 10% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Analysis Experience in demand in 2026?
Yes. Data Analysis Experience appears in 0.3% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 10 analyzed jobs, demand is steady across multiple role types.
What level of Data Analysis Experience do most jobs require?
The median required depth is L3. Many positions accept basic to intermediate proficiency.
Does knowing Data Analysis Experience increase salary?
Salary data for Data Analysis Experience is still accumulating.
What other skills pair with Data Analysis Experience?
The most common pairings are SQL, Python, Bachelor's Degree, Power BI, Communication Skills. Strengthening these alongside Data Analysis Experience improves your fit across more positions.
What roles need Data Analysis Experience the most?
Top roles: Data Analysis, Other, HR / Recruiting. Data Analysis positions have the highest demand at 70% of all Data Analysis Experience jobs.
How do I improve my Data Analysis Experience 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 Experience job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analysis Experience gaps →See how your depth compares to what employers actually require
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