Skill Demand Index

Statistics — Demand & Depth Analysis

Based on 6 scored job postings out of 4,699 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.1%

Demand Rate

L2

Median Depth

33.3%

Gap Rate

6

Jobs Analyzed

L133% of postings

Minimal

Most employers want Statistics at introductory awareness.

Overview

What is Statistics?

Market context for Statistics in the current job market

Statistics is required in 0.1% 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 0.1% of all scored postingsdemand is growing as more employers add it to requirements
  • Employers typically expect L2 depthfoundational knowledge with practical application
  • Most demand comes from Data Analysis roles50% 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 33.3% means a notable portion of candidates fall short on Statistics. Addressing this gap directly in your application materials gives you an edge.

Which roles need Statistics most:

Data Analysis positions drive 50% of demand. Data Science / ML and Software Engineering also frequently list Statistics as a requirement. Skills commonly paired with Statistics include Data Analysis and SQL.

Depth Level Distribution

Proficiency Distribution

How candidates match Statistics requirements across 6 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
33% (2)
DOMINANT
L2 — Basic
33% (2)
L3 — Proficient
33% (2)
L4 — Advanced
0% (0)
L5 — Expert
0% (0)

Average depth: L2.0·Median depth: L2.0

Salary Correlation

Pay Impact

How Statistics affects compensation based on postings with disclosed salary data

Without Statistics

$140K

Median $132K

1265 jobs

Skill Demand Insight

Statistics appears in 0.1% 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

33.3%

Moderate gap rate — many candidates lack this skill

When Statistics appears in a job's requirements, 33.3% 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 Statistics in demand in 2026?

Yes. Statistics appears in 0.1% 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, SQL, A/B Testing, Relational Database Systems, Project Management. Strengthening these alongside Statistics improves your fit across more positions.

What roles need Statistics the most?

Top roles: Data Analysis, Data Science / ML, Software Engineering. Data Analysis positions have the highest demand at 50% 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

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