Skill Demand Index
Data-Driven Improvements — Demand & Depth Analysis
Based on 5 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L4
Median Depth
0%
Gap Rate
5
Jobs Analyzed
Advanced
Most employers want Data-Driven Improvements at lead-level proficiency, not surface awareness.
Overview
What is Data-Driven Improvements?
Market context for Data-Driven Improvements in the current job market
Data-Driven Improvements is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data-Driven Improvements typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data-Driven Improvements:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L4 depth — architect-level, not just familiarity
- •Most demand comes from Data Science / ML roles — 20% of all Data-Driven Improvements jobs
What L4 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-Driven Improvements on their team.
This means employers aren't looking for someone who has used Data-Driven Improvements 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-Driven Improvements proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data-Driven Improvements most:
Data Science / ML positions drive 20% of demand. Project Management and Operations also frequently list Data-Driven Improvements as a requirement. Skills commonly paired with Data-Driven Improvements include Cross-functional Collaboration and Program/Project Management.
Depth Level Distribution
Proficiency Distribution
How candidates match Data-Driven Improvements requirements across 5 scored evaluations
Average depth: L4.2·Median depth: L4.0
Salary Correlation
Pay Impact
How Data-Driven Improvements affects compensation based on postings with disclosed salary data
Without Data-Driven Improvements
$141K
Median $133K
1235 jobs
Skill Demand Insight
“Data-Driven Improvements appears in 0.1% of all scored jobs.”
From 5 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data-Driven Improvements
60%
co-occurrence
40%
co-occurrence
40%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
20%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Data-Driven Improvements
Gap Analysis
Gap Rate Explained
How often Data-Driven Improvements is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data-Driven Improvements 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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