Skill Demand Index

Statistical Skills — Demand & Depth Analysis

Based on 1 scored job postings out of 4,699 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0%

Demand Rate

L3

Median Depth

0%

Gap Rate

1

Jobs Analyzed

L3100% of postings

Proficient

Most employers want Statistical Skills at hands-on daily use, not textbook knowledge.

Overview

What is Statistical Skills?

Market context for Statistical Skills in the current job market

Statistical Skills is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Statistical Skills typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Statistical Skills:

  • Required in 0% of all scored postingsdemand is growing as more employers add it to requirements
  • Employers typically expect L3 depthhands-on proficiency, not surface awareness
  • Most demand comes from Data Analysis roles100% of all Statistical Skills jobs

What L3 means in practice:

L3 (Proficient) means daily professional use. You should be able to work independently with Statistical Skills without needing supervision or constant guidance.

This means employers aren't looking for someone who has used Statistical Skills 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 Skills proficiency. To stand out, aim for L4-L5 depth with concrete evidence.

Which roles need Statistical Skills most:

Data Analysis positions drive 100% of demand. Skills commonly paired with Statistical Skills include Professional Experience and Problem Structuring.

Depth Level Distribution

Proficiency Distribution

How candidates match Statistical Skills requirements across 1 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
0% (0)
L2 — Basic
0% (0)
L3 — Proficient
100% (1)
DOMINANT
L4 — Advanced
0% (0)
L5 — Expert
0% (0)

Average depth: L3.0·Median depth: L3.0

Salary Correlation

Pay Impact

How Statistical Skills affects compensation based on postings with disclosed salary data

Without Statistical Skills

$140K

Median $131K

1266 jobs

Skill Demand Insight

Statistical Skills appears in 0% of all scored jobs.”

From 1 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Statistical Skills

Role Breakdown

Top Role Categories

Job categories most likely to require Statistical Skills

Gap Analysis

Gap Rate Explained

How often Statistical Skills is identified as a skill gap (L0–L1) in scored applications

0%

Very low gap rate — candidates generally have this skill

When Statistical Skills appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is Statistical Skills in demand in 2026?

Yes. Statistical Skills 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.

What level of Statistical Skills do most jobs require?

The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.

Does knowing Statistical Skills increase salary?

Salary data for Statistical Skills is still accumulating.

What other skills pair with Statistical Skills?

The most common pairings are Professional Experience, Problem Structuring, Education, Complex SQL, Analytical Programming. Strengthening these alongside Statistical Skills improves your fit across more positions.

What roles need Statistical Skills the most?

Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Statistical Skills jobs.

How do I improve my Statistical Skills 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 Statistical Skills job requirements

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