Skill Demand Index
Based on 1 scored job postings out of 2,412 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L1
Median Depth
100%
Gap Rate
1
Jobs Analyzed
Minimal
Most employers want Data Analytics/Databases/AI Familiarity at introductory awareness.
Overview
Market context for Data Analytics/Databases/AI Familiarity in the current job market
Data Analytics/Databases/AI Familiarity is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analytics/Databases/AI Familiarity typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analytics/Databases/AI Familiarity:
What L1 means in practice:
L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.
This means employers aren't looking for someone who has used Data Analytics/Databases/AI Familiarity 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 100% means most applicants lack Data Analytics/Databases/AI Familiarity at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Data Analytics/Databases/AI Familiarity most:
Marketing positions drive 100% of demand. Skills commonly paired with Data Analytics/Databases/AI Familiarity include Growth Marketing.
Depth Level Distribution
How candidates match Data Analytics/Databases/AI Familiarity requirements across 1 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
How Data Analytics/Databases/AI Familiarity affects compensation based on postings with disclosed salary data
Without Data Analytics/Databases/AI Familiarity
$137K
Median $130K
449 jobs
Skill Demand Insight
“Data Analytics/Databases/AI Familiarity appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Analytics/Databases/AI Familiarity
Role Breakdown
Job categories most likely to require Data Analytics/Databases/AI Familiarity
Gap Analysis
How often Data Analytics/Databases/AI Familiarity is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Data Analytics/Databases/AI Familiarity appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Analytics/Databases/AI Familiarity appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Salary data for Data Analytics/Databases/AI Familiarity is still accumulating.
The most common pairings are Growth Marketing, Writing compelling copy, Analytical Chops, Experimentation, Technical Buyer Marketing. Strengthening these alongside Data Analytics/Databases/AI Familiarity improves your fit across more positions.
Top roles: Marketing. Marketing positions have the highest demand at 100% of all Data Analytics/Databases/AI Familiarity 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 Analytics/Databases/AI Familiarity job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analytics/Databases/AI Familiarity gaps →See how your depth compares to what employers actually require
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