Skill Demand Index
Data-Driven Decision Making — Demand & Depth Analysis
Based on 30 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.6%
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
What is Data-Driven Decision Making?
Market context for Data-Driven Decision Making in the current job market
Data-Driven Decision Making is required in 0.6% 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:
- •Required in 0.6% 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 Marketing roles — 40% of all Data-Driven Decision Making jobs
- •Median salary for roles requiring Data-Driven Decision Making: $189K vs $133K for roles that don't — a $46K difference
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 40% of demand. Other and Operations also frequently list Data-Driven Decision Making as a requirement. Skills commonly paired with Data-Driven Decision Making include Bachelor's Degree and Cross-functional leadership.
Depth Level Distribution
Proficiency Distribution
How candidates match Data-Driven Decision Making requirements across 30 scored evaluations
Average depth: L4.1·Median depth: L4.0
Salary Correlation
Pay Impact
How Data-Driven Decision Making affects compensation based on postings with disclosed salary data
With Data-Driven Decision Making
$186K
Median $189K
6 jobs
Without Data-Driven Decision Making
$140K
Median $133K
1223 jobs
↑ $46K higher
for roles requiring Data-Driven Decision Making
Skill Demand Insight
“Data-Driven Decision Making appears in 0.6% of all scored jobs.”
From 30 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data-Driven Decision Making
17%
co-occurrence
13%
co-occurrence
10%
co-occurrence
7%
co-occurrence
7%
co-occurrence
7%
co-occurrence
7%
co-occurrence
7%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Data-Driven Decision Making
Gap Analysis
Gap Rate Explained
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).
Frequently Asked Questions
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