Skill Demand Index
Experience working with and analyzing data — Demand & Depth Analysis
Based on 1 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L5
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Expert
Most employers want Experience working with and analyzing data at architect level, not just familiarity.
Overview
What is Experience working with and analyzing data?
Market context for Experience working with and analyzing data in the current job market
Experience working with and analyzing data is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Experience working with and analyzing data typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Experience working with and analyzing data:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L5 depth — architect-level, not just familiarity
- •Most demand comes from Data Analysis roles — 100% of all Experience working with and analyzing data jobs
What L5 means in practice:
L5 (Expert) means the employer expects someone who can architect systems around Experience working with and analyzing data, mentor teams, and make strategic decisions. This goes well beyond "I’ve used it before."
This means employers aren't looking for someone who has used Experience working with and analyzing data 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 0% means most candidates have adequate Experience working with and analyzing data proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Experience working with and analyzing data most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Experience working with and analyzing data include Bachelor's Degree and Managing multiple projects.
Depth Level Distribution
Proficiency Distribution
How candidates match Experience working with and analyzing data requirements across 1 scored evaluations
Average depth: L5.0·Median depth: L5.0
Salary Correlation
Pay Impact
How Experience working with and analyzing data affects compensation based on postings with disclosed salary data
Without Experience working with and analyzing data
$140K
Median $133K
1236 jobs
Skill Demand Insight
“Experience working with and analyzing data appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Experience working with and analyzing data
Role Breakdown
Top Role Categories
Job categories most likely to require Experience working with and analyzing data
Gap Analysis
Gap Rate Explained
How often Experience working with and analyzing data is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Experience working with and analyzing data appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
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