Skill Demand Index
Based on 1 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L2
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Basic
Most employers want Data Analysis In Merchandising at basic competency with practical application.
Overview
Market context for Data Analysis In Merchandising in the current job market
Data Analysis In Merchandising is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analysis In Merchandising typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analysis In Merchandising:
What L2 means in practice:
L2 (Basic) means you’ve built small things with Data Analysis In Merchandising — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Data Analysis In Merchandising 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 Data Analysis In Merchandising proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analysis In Merchandising most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Data Analysis In Merchandising include Bachelor’s degree in a quantitative field.
Depth Level Distribution
How candidates match Data Analysis In Merchandising requirements across 1 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
How Data Analysis In Merchandising affects compensation based on postings with disclosed salary data
Without Data Analysis In Merchandising
$137K
Median $130K
454 jobs
Skill Demand Insight
“Data Analysis In Merchandising appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Analysis In Merchandising
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
Role Breakdown
Job categories most likely to require Data Analysis In Merchandising
Gap Analysis
How often Data Analysis In Merchandising is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analysis In Merchandising appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Analysis In Merchandising 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 L2. Many positions accept basic to intermediate proficiency.
Salary data for Data Analysis In Merchandising is still accumulating.
The most common pairings are Bachelor’s degree in a quantitative field, 5-years-of-professional-experience, communication-skills-executive-level, Data Storytelling, analytical-products-analyses-dashboards-insights-recommendations. Strengthening these alongside Data Analysis In Merchandising improves your fit across more positions.
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Data Analysis In Merchandising 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 Analysis In Merchandising job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analysis In Merchandising gaps →See how your depth compares to what employers actually require
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