Skill Demand Index
Data marts and cubes — Demand & Depth Analysis
Based on 2 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L2
Median Depth
50%
Gap Rate
2
Jobs Analyzed
Minimal
Most employers want Data marts and cubes at introductory awareness.
Overview
What is Data marts and cubes?
Market context for Data marts and cubes in the current job market
Data marts and cubes is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data marts and cubes typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data marts and cubes:
- •Required in 0% 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 Analysis roles — 100% of all Data marts and cubes jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with Data marts and cubes — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Data marts and cubes 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 50% means most applicants lack Data marts and cubes at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Data marts and cubes most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Data marts and cubes include SQL Queries and Excel (Pivot Tables).
Depth Level Distribution
Proficiency Distribution
How candidates match Data marts and cubes requirements across 2 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
Pay Impact
How Data marts and cubes affects compensation based on postings with disclosed salary data
Without Data marts and cubes
$140K
Median $133K
1236 jobs
Skill Demand Insight
“Data marts and cubes appears in 0% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data marts and cubes
100%
co-occurrence
100%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Data marts and cubes
Gap Analysis
Gap Rate Explained
How often Data marts and cubes is identified as a skill gap (L0–L1) in scored applications
Moderate gap rate — many candidates lack this skill
When Data marts and cubes appears in a job's requirements, 50% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
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