Skill Demand Index
Based on 2 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L4
Median Depth
0%
Gap Rate
2
Jobs Analyzed
Advanced
Most employers want Data Accuracy at lead-level proficiency, not surface awareness.
Overview
Market context for Data Accuracy in the current job market
Data Accuracy 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 Accuracy typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Accuracy:
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 Accuracy on their team.
This means employers aren't looking for someone who has used Data Accuracy 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 Accuracy proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Accuracy most:
Data Analysis positions drive 50% of demand. Sales also frequently list Data Accuracy as a requirement. Skills commonly paired with Data Accuracy include Bachelor's Degree and Data Systems/Databases/Reporting Tools.
Depth Level Distribution
How candidates match Data Accuracy requirements across 2 scored evaluations
Average depth: L4.0·Median depth: L4.0
Salary Correlation
How Data Accuracy affects compensation based on postings with disclosed salary data
Without Data Accuracy
$137K
Median $130K
454 jobs
Skill Demand Insight
“Data Accuracy appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Accuracy
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
Role Breakdown
Job categories most likely to require Data Accuracy
Gap Analysis
How often Data Accuracy is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Accuracy appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Accuracy appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 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 Accuracy is still accumulating.
The most common pairings are Bachelor's Degree, Data Systems/Databases/Reporting Tools, Reporting and Visualizations, Data Analysis, Data Collection, Cleaning, Validation. Strengthening these alongside Data Accuracy improves your fit across more positions.
Top roles: Data Analysis, Sales. Data Analysis positions have the highest demand at 50% of all Data Accuracy 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 Accuracy job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Accuracy gaps →See how your depth compares to what employers actually require
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