Skill Demand Index
Based on 30 scored job postings out of 2,381 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
1.3%
Demand Rate
L4
Median Depth
0%
Gap Rate
30
Jobs Analyzed
Advanced
Most employers want Data-Driven Decision Making at lead-level proficiency, not surface awareness.
Overview
Market context for Data-Driven Decision Making in the current job market
Data-Driven Decision Making is required in 1.3% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data-Driven Decision Making typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data-Driven Decision Making:
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 Decision Making on their team.
This means employers aren't looking for someone who has used Data-Driven Decision Making 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 Decision Making proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data-Driven Decision Making most:
Marketing positions drive 53% of demand. Other and Product Management also frequently list Data-Driven Decision Making as a requirement.
Depth Level Distribution
How candidates match Data-Driven Decision Making requirements across 30 scored evaluations
Average depth: L4.1·Median depth: L4.0
Salary Correlation
How Data-Driven Decision Making affects compensation based on postings with disclosed salary data
Without Data-Driven Decision Making
$136K
Median $130K
441 jobs
Skill Demand Insight
“Data-Driven Decision Making appears in 1.3% of all scored jobs.”
From 30 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data-Driven Decision Making
Role Breakdown
Job categories most likely to require Data-Driven Decision Making
Gap Analysis
How often Data-Driven Decision Making is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data-Driven Decision Making appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data-Driven Decision Making appears in 1.3% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 30 analyzed jobs, demand is steady across multiple role types.
The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Salary data for Data-Driven Decision Making is still accumulating.
The most common pairings are Stakeholder Management, Digital Marketing, Media Buying, Cross-functional Collaboration, E-commerce. Strengthening these alongside Data-Driven Decision Making improves your fit across more positions.
Top roles: Marketing, Other, Product Management, Data Analysis. Marketing positions have the highest demand at 53% of all Data-Driven Decision Making 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-Driven Decision Making job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data-Driven Decision Making gaps →See how your depth compares to what employers actually require
All Skills · Roles · Companies · Browse Jobs