Skill Demand Index
Data Mining — Demand & Depth Analysis
Based on 9 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
33.3%
Gap Rate
9
Jobs Analyzed
Proficient
Most employers want Data Mining at hands-on daily use, not textbook knowledge.
Overview
What is Data Mining?
Market context for Data Mining in the current job market
Data Mining is required in 0.2% 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 0.2% 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 Science / ML roles — 44% 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 33.3% 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 44% of demand. Other and Data Analysis 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 9 scored evaluations
Average depth: L2.1·Median depth: L2.0
Salary Correlation
Pay Impact
How Data Mining affects compensation based on postings with disclosed salary data
Without Data Mining
$139K
Median $130K
977 jobs
Skill Demand Insight
“Data Mining appears in 0.2% of all scored jobs.”
From 9 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Mining
Role Breakdown
Top Role Categories
Job categories most likely to require Data Mining
Gap Analysis
Gap Rate Explained
How often Data Mining is identified as a skill gap (L0–L1) in scored applications
Moderate gap rate — many candidates lack this skill
When Data Mining appears in a job's requirements, 33.3% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Mining in demand in 2026?
Yes. Data Mining appears in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 9 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, SQL, Data Visualization, Big Data Analytics. Strengthening these alongside Data Mining improves your fit across more positions.
What roles need Data Mining the most?
Top roles: Data Science / ML, Other, Data Analysis, Project Management. Data Science / ML positions have the highest demand at 44% 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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