Skill Demand Index
Based on 1 scored job postings out of 2,412 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 QA/QC at lead-level proficiency, not surface awareness.
Overview
Market context for Data QA/QC in the current job market
Data QA/QC is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data QA/QC typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data QA/QC:
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 QA/QC on their team.
This means employers aren't looking for someone who has used Data QA/QC 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 QA/QC proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data QA/QC most:
Other positions drive 100% of demand. Skills commonly paired with Data QA/QC include Computer Science/Engineering Degree and attention to detail.
Depth Level Distribution
How candidates match Data QA/QC requirements across 1 scored evaluations
Average depth: L4.0·Median depth: L4.0
Salary Correlation
How Data QA/QC affects compensation based on postings with disclosed salary data
Without Data QA/QC
$137K
Median $130K
450 jobs
Skill Demand Insight
“Data QA/QC appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data QA/QC
Gap Analysis
How often Data QA/QC is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data QA/QC appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data QA/QC 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.
The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Salary data for Data QA/QC is still accumulating.
The most common pairings are Computer Science/Engineering Degree, attention to detail, Cross-Functional Communication, 3D Data/Point Cloud Experience, Scripting (Python). Strengthening these alongside Data QA/QC improves your fit across more positions.
Top roles: Other. Other positions have the highest demand at 100% of all Data QA/QC 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 QA/QC job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data QA/QC gaps →See how your depth compares to what employers actually require
All Skills · Roles · Companies · Browse Jobs