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Skill Demand Index

Data-Driven Decisions — Demand & Depth Analysis

Based on 6 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.1%

Demand Rate

L5

Median Depth

0%

Gap Rate

6

Jobs Analyzed

L550% of postings

Expert

Most employers want Data-Driven Decisions at architect level, not just familiarity.

Overview

What is Data-Driven Decisions?

Market context for Data-Driven Decisions in the current job market

Data-Driven Decisions 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 Decisions typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Data-Driven Decisions:

  • •Required in 0.1% 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 Marketing roles — 50% of all Data-Driven Decisions 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-Driven Decisions on their team.

This means employers aren't looking for someone who has used Data-Driven Decisions 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 Decisions proficiency. To stand out, aim for L4-L5 depth with concrete evidence.

Which roles need Data-Driven Decisions most:

Marketing positions drive 50% of demand. Product Management and Other also frequently list Data-Driven Decisions as a requirement. Skills commonly paired with Data-Driven Decisions include Cross-functional leadership and Product Management Experience.

Depth Level Distribution

Proficiency Distribution

How candidates match Data-Driven Decisions requirements across 6 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
0% (0)
L2 — Basic
0% (0)
L3 — Proficient
17% (1)
L4 — Advanced
33% (2)
L5 — Expert
50% (3)
DOMINANT

Average depth: L4.3·Median depth: L4.5

Salary Correlation

Pay Impact

How Data-Driven Decisions affects compensation based on postings with disclosed salary data

Without Data-Driven Decisions

$141K

Median $133K

1229 jobs

Skill Demand Insight

“Data-Driven Decisions appears in 0.1% of all scored jobs.”

From 6 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data-Driven Decisions

Role Breakdown

Top Role Categories

Job categories most likely to require Data-Driven Decisions

Gap Analysis

Gap Rate Explained

How often Data-Driven Decisions is identified as a skill gap (L0–L1) in scored applications

0%

Very low gap rate — candidates generally have this skill

When Data-Driven Decisions appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is Data-Driven Decisions in demand in 2026?

Yes. Data-Driven Decisions appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 6 analyzed jobs, demand is steady across multiple role types.

What level of Data-Driven Decisions 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-Driven Decisions increase salary?

Salary data for Data-Driven Decisions is still accumulating.

What other skills pair with Data-Driven Decisions?

The most common pairings are Cross-functional leadership, Product Management Experience, Content Writing/Editing, Content Structuring, Content Design Principles. Strengthening these alongside Data-Driven Decisions improves your fit across more positions.

What roles need Data-Driven Decisions the most?

Top roles: Marketing, Product Management, Other. Marketing positions have the highest demand at 50% of all Data-Driven Decisions jobs.

How do I improve my Data-Driven Decisions 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-Driven Decisions job requirements

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