Skill Demand Index

Data Mining — Demand & Depth Analysis

Based on 6 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.1%

Demand Rate

Median Depth

33%

Gap Rate

Jobs Analyzed

Minimal

Most employers want Data Mining at introductory awareness.

Overview

What is Data Mining?

Market context for Data Mining in the current job market

Data Mining 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 Mining typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Data Mining:

•Required in 0.1% 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 Science / ML roles — 67% of all Data Mining jobs

What L2 means in practice:

L2 (Basic) means you’ve built small things with Data Mining — personal projects or bootcamp work. Employers accept this for junior roles.

This means employers aren't looking for someone who has used Data Mining 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% means a notable portion of candidates fall short on Data Mining. Addressing this gap directly in your application materials gives you an edge.

Which roles need Data Mining most:

Data Science / ML positions drive 67% of demand. Data Analysis and Other also frequently list Data Mining as a requirement. Skills commonly paired with Data Mining include Statistical Analysis and Data Analysis.

Depth Level Distribution

Proficiency Distribution

How candidates match Data Mining 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 Data Mining affects compensation based on postings with disclosed salary data

Without Data Mining

$140K

Median $133K

1235 jobs

Estimate salary for a specific role

Skill Demand Insight

“Data Mining appears in 0.1% of all scored jobs.”

From 6 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data Mining

Statistical AnalysisTOP

33%

co-occurrence

Data AnalysisTOP

33%

co-occurrence

Data VisualizationTOP

17%

co-occurrence

Big Data Analytics

17%

co-occurrence

Machine Learning

17%

co-occurrence

Data Science

17%

co-occurrence

Applied Research

17%

co-occurrence

SQL

17%

co-occurrence

Role Breakdown

Top Role Categories

Job categories most likely to require Data Mining

1Data Science / ML

67%

2Data Analysis

17%

3Other

17%

Gap Analysis

Gap Rate Explained

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

33%

Moderate gap rate — many candidates lack this skill

When Data Mining appears in a job's requirements, 33% 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 Data Mining in demand in 2026?

Yes. Data Mining 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 Data Mining do most jobs require?

The median required depth is L2. Many positions accept basic to intermediate proficiency.

Does knowing Data Mining increase salary?

Salary data for Data Mining is still accumulating.

What other skills pair with Data Mining?

The most common pairings are Statistical Analysis, Data Analysis, Data Visualization, Big Data Analytics, Machine Learning. Strengthening these alongside Data Mining improves your fit across more positions.

What roles need Data Mining the most?

Top roles: Data Science / ML, Data Analysis, Other. Data Science / ML positions have the highest demand at 67% of all Data Mining jobs.

How do I improve my Data Mining 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 Data Mining job requirements

ShouldApply scores your profile against each skill at the depth level jobs actually need.

Analyze my Data Mining gaps →

See how your depth compares to what employers actually require

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