Skill Demand Index
Data Analysis (Quantitative/Qualitative) — Demand & Depth Analysis
Based on 1 scored job postings out of 4,064 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L4
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Advanced
Most employers want Data Analysis (Quantitative/Qualitative) at lead-level proficiency, not surface awareness.
Overview
What is Data Analysis (Quantitative/Qualitative)?
Market context for Data Analysis (Quantitative/Qualitative) in the current job market
Data Analysis (Quantitative/Qualitative) is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analysis (Quantitative/Qualitative) typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analysis (Quantitative/Qualitative):
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L4 depth — architect-level, not just familiarity
- •Most demand comes from Marketing roles — 100% of all Data Analysis (Quantitative/Qualitative) jobs
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 (Quantitative/Qualitative) on their team.
This means employers aren't looking for someone who has used Data Analysis (Quantitative/Qualitative) 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 Data Analysis (Quantitative/Qualitative) proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analysis (Quantitative/Qualitative) most:
Marketing positions drive 100% of demand. Skills commonly paired with Data Analysis (Quantitative/Qualitative) include Financial Services Industry Experience and Bachelor's Degree.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analysis (Quantitative/Qualitative) requirements across 1 scored evaluations
Average depth: L4.0·Median depth: L4.0
Salary Correlation
Pay Impact
How Data Analysis (Quantitative/Qualitative) affects compensation based on postings with disclosed salary data
Without Data Analysis (Quantitative/Qualitative)
$140K
Median $131K
1101 jobs
Skill Demand Insight
“Data Analysis (Quantitative/Qualitative) appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analysis (Quantitative/Qualitative)
Role Breakdown
Top Role Categories
Job categories most likely to require Data Analysis (Quantitative/Qualitative)
Gap Analysis
Gap Rate Explained
How often Data Analysis (Quantitative/Qualitative) is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analysis (Quantitative/Qualitative) appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Analysis (Quantitative/Qualitative) in demand in 2026?
Yes. Data Analysis (Quantitative/Qualitative) 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 Data Analysis (Quantitative/Qualitative) 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 (Quantitative/Qualitative) increase salary?
Salary data for Data Analysis (Quantitative/Qualitative) is still accumulating.
What other skills pair with Data Analysis (Quantitative/Qualitative)?
The most common pairings are Financial Services Industry Experience, Bachelor's Degree, Written Communication, PowerPoint Proficiency, Excel Proficiency. Strengthening these alongside Data Analysis (Quantitative/Qualitative) improves your fit across more positions.
What roles need Data Analysis (Quantitative/Qualitative) the most?
Top roles: Marketing. Marketing positions have the highest demand at 100% of all Data Analysis (Quantitative/Qualitative) jobs.
How do I improve my Data Analysis (Quantitative/Qualitative) 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 (Quantitative/Qualitative) job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analysis (Quantitative/Qualitative) gaps →See how your depth compares to what employers actually require
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