Skill Demand Index
Based on 5 scored job postings out of 2,412 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.2%
Demand Rate
L2
Median Depth
20%
Gap Rate
5
Jobs Analyzed
Basic
Most employers want Data Mining at basic competency with practical application.
Overview
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:
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 20% means most candidates have adequate Data Mining proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Mining most:
Other positions drive 40% of demand. Data Analysis and Data Science / ML also frequently list Data Mining as a requirement. Skills commonly paired with Data Mining include Data Analysis and SQL.
Depth Level Distribution
How candidates match Data Mining requirements across 5 scored evaluations
Average depth: L2.4·Median depth: L2.0
Salary Correlation
How Data Mining affects compensation based on postings with disclosed salary data
Without Data Mining
$137K
Median $130K
449 jobs
Skill Demand Insight
“Data Mining appears in 0.2% of all scored jobs.”
From 5 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Mining
Role Breakdown
Job categories most likely to require Data Mining
Gap Analysis
How often Data Mining is identified as a skill gap (L0–L1) in scored applications
Low gap rate — most candidates are reasonably qualified
When Data Mining appears in a job's requirements, 20% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Mining appears in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 5 analyzed jobs, demand is steady across multiple role types.
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Salary data for Data Mining is still accumulating.
The most common pairings are Data Analysis, SQL, SEO, Data Visualization, Google Analytics. Strengthening these alongside Data Mining improves your fit across more positions.
Top roles: Other, Data Analysis, Data Science / ML, Project Management. Other positions have the highest demand at 40% of all Data Mining jobs.
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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