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
L2
Median Depth
0%
Gap Rate
2
Jobs Analyzed
Basic
Most employers want Statistical Practices at basic competency with practical application.
Overview
Market context for Statistical Practices in the current job market
Statistical Practices is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Statistical Practices typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Statistical Practices:
What L2 means in practice:
L2 (Basic) means you’ve built small things with Statistical Practices — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Statistical Practices 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 Statistical Practices proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Statistical Practices most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Statistical Practices include Bachelor's Degree in Computer Science and Digital Experience Analysis.
Depth Level Distribution
How candidates match Statistical Practices requirements across 2 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
How Statistical Practices affects compensation based on postings with disclosed salary data
Without Statistical Practices
$137K
Median $130K
454 jobs
Skill Demand Insight
“Statistical Practices appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Other skills that frequently appear alongside Statistical Practices
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 Statistical Practices
Gap Analysis
How often Statistical Practices is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Statistical Practices appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Statistical Practices 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 L2. Many positions accept basic to intermediate proficiency.
Salary data for Statistical Practices is still accumulating.
The most common pairings are Bachelor's Degree in Computer Science, Digital Experience Analysis, Data Analysis, Presentation to Executives, Define success and develop measurement frameworks. Strengthening these alongside Statistical Practices improves your fit across more positions.
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Statistical Practices 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 Statistical Practices job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Statistical Practices gaps →See how your depth compares to what employers actually require
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