Skill Demand Index
Data Analysis & Recommendations — 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
L5
Median Depth
0%
Gap Rate
2
Jobs Analyzed
Advanced
Most employers want Data Analysis & Recommendations at lead-level proficiency, not surface awareness.
Overview
What is Data Analysis & Recommendations?
Market context for Data Analysis & Recommendations in the current job market
Data Analysis & Recommendations 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 & Recommendations typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analysis & Recommendations:
- •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 Other roles — 100% of all Data Analysis & Recommendations jobs
What L5 means in practice:
L4 (Advanced) means solving hard problems, optimizing workflows, and mentoring others. Employers want someone who can be the go-to person for Data Analysis & Recommendations on their team.
This means employers aren't looking for someone who has used Data Analysis & Recommendations 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 & Recommendations proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analysis & Recommendations most:
Other positions drive 100% of demand. Skills commonly paired with Data Analysis & Recommendations include Financial Performance Ownership and Category Strategy & Vision.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analysis & Recommendations requirements across 2 scored evaluations
Average depth: L4.5·Median depth: L4.5
Salary Correlation
Pay Impact
How Data Analysis & Recommendations affects compensation based on postings with disclosed salary data
Without Data Analysis & Recommendations
$140K
Median $133K
1235 jobs
Skill Demand Insight
“Data Analysis & Recommendations appears in 0% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analysis & Recommendations
50%
co-occurrence
50%
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 Analysis & Recommendations
Gap Analysis
Gap Rate Explained
How often Data Analysis & Recommendations is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analysis & Recommendations appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
See how you stack up against Data Analysis & Recommendations job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analysis & Recommendations gaps →See how your depth compares to what employers actually require
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