Skill Demand Index
Based on 22 scored job postings out of 2,381 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.9%
Demand Rate
L4
Median Depth
0%
Gap Rate
22
Jobs Analyzed
Proficient
Most employers want Data Analytics at hands-on daily use, not textbook knowledge.
Overview
Market context for Data Analytics in the current job market
Data Analytics is required in 0.9% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analytics typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analytics:
What L4 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with Data Analytics without needing supervision or constant guidance.
This means employers aren't looking for someone who has used Data Analytics 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 Analytics proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analytics most:
Data Analysis positions drive 50% of demand. Other and Marketing also frequently list Data Analytics as a requirement. Skills commonly paired with Data Analytics include SQL and Communication.
Depth Level Distribution
How candidates match Data Analytics requirements across 22 scored evaluations
Average depth: L3.7·Median depth: L3.5
Salary Correlation
How Data Analytics affects compensation based on postings with disclosed salary data
Without Data Analytics
$137K
Median $130K
444 jobs
Skill Demand Insight
“Data Analytics appears in 0.9% of all scored jobs.”
From 22 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Analytics
Role Breakdown
Job categories most likely to require Data Analytics
Gap Analysis
How often Data Analytics is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analytics appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Analytics appears in 0.9% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 22 analyzed jobs, demand is steady across multiple role types.
The median required depth is L4. Most roles expect intermediate competency — independent work without supervision.
Salary data for Data Analytics is still accumulating.
The most common pairings are SQL, Communication, Bachelor's Degree, Digital Marketing, Critical-Thinking. Strengthening these alongside Data Analytics improves your fit across more positions.
Top roles: Data Analysis, Other, Marketing, Sales. Data Analysis positions have the highest demand at 50% of all Data Analytics jobs.
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 Analytics job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analytics gaps →See how your depth compares to what employers actually require
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