Skill Demand Index
Statistics — Demand & Depth Analysis
Based on 6 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.2%
Demand Rate
L2
Median Depth
16.7%
Gap Rate
6
Jobs Analyzed
Basic
Most employers want Statistics at basic competency with practical application.
Overview
What is Statistics?
Market context for Statistics in the current job market
Statistics is required in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Statistics typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Statistics:
- •Required in 0.2% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L2 depth — foundational knowledge with practical application
- •Most demand comes from Data Analysis roles — 33% of all Statistics jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with Statistics — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Statistics 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 16.7% means most candidates have adequate Statistics proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Statistics most:
Data Analysis positions drive 33% of demand. Software Engineering and Data Science / ML also frequently list Statistics as a requirement. Skills commonly paired with Statistics include Data Analysis and Computer Science.
Depth Level Distribution
Proficiency Distribution
How candidates match Statistics requirements across 6 scored evaluations
Average depth: L2.2·Median depth: L2.0
Salary Correlation
Pay Impact
How Statistics affects compensation based on postings with disclosed salary data
Without Statistics
$139K
Median $130K
977 jobs
Skill Demand Insight
“Statistics appears in 0.2% of all scored jobs.”
From 6 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Statistics
Role Breakdown
Top Role Categories
Job categories most likely to require Statistics
Gap Analysis
Gap Rate Explained
How often Statistics is identified as a skill gap (L0–L1) in scored applications
Low gap rate — most candidates are reasonably qualified
When Statistics appears in a job's requirements, 16.7% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Statistics in demand in 2026?
Yes. Statistics appears in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 6 analyzed jobs, demand is steady across multiple role types.
What level of Statistics do most jobs require?
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Does knowing Statistics increase salary?
Salary data for Statistics is still accumulating.
What other skills pair with Statistics?
The most common pairings are Data Analysis, Computer Science, Machine Learning, SQL, A/B Testing. Strengthening these alongside Statistics improves your fit across more positions.
What roles need Statistics the most?
Top roles: Data Analysis, Software Engineering, Data Science / ML. Data Analysis positions have the highest demand at 33% of all Statistics jobs.
How do I improve my Statistics 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 Statistics job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Statistics gaps →See how your depth compares to what employers actually require
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