Skill Demand Index
Data-informed Decision Making — Demand & Depth Analysis
Based on 2 scored job postings out of 4,699 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-informed Decision Making at lead-level proficiency, not surface awareness.
Overview
What is Data-informed Decision Making?
Market context for Data-informed Decision Making in the current job market
Data-informed Decision Making is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data-informed Decision Making typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data-informed Decision Making:
- •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 — 50% of all Data-informed Decision Making 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-informed Decision Making on their team.
This means employers aren't looking for someone who has used Data-informed 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-informed Decision Making proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data-informed Decision Making most:
Other positions drive 50% of demand. Operations also frequently list Data-informed Decision Making as a requirement. Skills commonly paired with Data-informed Decision Making include English Communication and Problem Solving/Process Improvement.
Depth Level Distribution
Proficiency Distribution
How candidates match Data-informed Decision Making requirements across 2 scored evaluations
Average depth: L4.5·Median depth: L4.5
Salary Correlation
Pay Impact
How Data-informed Decision Making affects compensation based on postings with disclosed salary data
Without Data-informed Decision Making
$139K
Median $131K
1265 jobs
Skill Demand Insight
“Data-informed Decision Making appears in 0% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data-informed Decision Making
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-informed Decision Making
Gap Analysis
Gap Rate Explained
How often Data-informed Decision Making is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data-informed Decision Making appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data-informed Decision Making in demand in 2026?
Yes. Data-informed Decision Making appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 analyzed jobs, demand is steady across multiple role types.
What level of Data-informed Decision Making do most jobs require?
The median required depth is L5. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Does knowing Data-informed Decision Making increase salary?
Salary data for Data-informed Decision Making is still accumulating.
What other skills pair with Data-informed Decision Making?
The most common pairings are English Communication, Problem Solving/Process Improvement, EMEA Business Culture, B2B SaaS Account Management, Comfort with Ambiguity. Strengthening these alongside Data-informed Decision Making improves your fit across more positions.
What roles need Data-informed Decision Making the most?
Top roles: Other, Operations. Other positions have the highest demand at 50% of all Data-informed Decision Making jobs.
How do I improve my Data-informed Decision Making level?
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-informed Decision Making job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data-informed Decision Making gaps →See how your depth compares to what employers actually require
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