Skill Demand Index
Data Analysis Skills — Demand & Depth Analysis
Based on 5 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L5
Median Depth
20%
Gap Rate
5
Jobs Analyzed
Expert
Most employers want Data Analysis Skills at architect level, not just familiarity.
Overview
What is Data Analysis Skills?
Market context for Data Analysis Skills in the current job market
Data Analysis Skills is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analysis Skills typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analysis Skills:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L5 depth — architect-level, not just familiarity
- •Most demand comes from Other roles — 60% of all Data Analysis Skills jobs
What L5 means in practice:
L5 (Expert) means the employer expects someone who can architect systems around Data Analysis Skills, mentor teams, and make strategic decisions. This goes well beyond "I’ve used it before."
This means employers aren't looking for someone who has used Data Analysis Skills 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 20% means most candidates have adequate Data Analysis Skills proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analysis Skills most:
Other positions drive 60% of demand. Marketing also frequently list Data Analysis Skills as a requirement. Skills commonly paired with Data Analysis Skills include Storytelling and Marketing Data Experience.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analysis Skills requirements across 5 scored evaluations
Average depth: L4.0·Median depth: L5.0
Salary Correlation
Pay Impact
How Data Analysis Skills affects compensation based on postings with disclosed salary data
Without Data Analysis Skills
$139K
Median $130K
976 jobs
Skill Demand Insight
“Data Analysis Skills appears in 0.1% of all scored jobs.”
From 5 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analysis Skills
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Data Analysis Skills
Gap Analysis
Gap Rate Explained
How often Data Analysis Skills is identified as a skill gap (L0–L1) in scored applications
Low gap rate — most candidates are reasonably qualified
When Data Analysis Skills appears in a job's requirements, 20% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Analysis Skills in demand in 2026?
Yes. Data Analysis Skills appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 5 analyzed jobs, demand is steady across multiple role types.
What level of Data Analysis Skills do most jobs require?
The median required depth is L5. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Does knowing Data Analysis Skills increase salary?
Salary data for Data Analysis Skills is still accumulating.
What other skills pair with Data Analysis Skills?
The most common pairings are Storytelling, Marketing Data Experience, Custom Insights Experience, Laboratory Operations Knowledge, Modern Research Tools. Strengthening these alongside Data Analysis Skills improves your fit across more positions.
What roles need Data Analysis Skills the most?
Top roles: Other, Marketing. Other positions have the highest demand at 60% of all Data Analysis Skills jobs.
How do I improve my Data Analysis Skills 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 Skills job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analysis Skills gaps →See how your depth compares to what employers actually require
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