Skill Demand Index

Data-driven — Demand & Depth Analysis

Based on 4 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.1%

Demand Rate

L5

Median Depth

25%

Gap Rate

4

Jobs Analyzed

L575% of postings

Expert

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

Overview

What is Data-driven?

Market context for Data-driven in the current job market

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

What the data shows for Data-driven:

  • Required in 0.1% of all scored postingsdemand is growing as more employers add it to requirements
  • Employers typically expect L5 deptharchitect-level, not just familiarity
  • Most demand comes from Other roles50% of all Data-driven jobs

What L5 means in practice:

L5 (Expert) means the employer expects someone who can architect systems around Data-driven, mentor teams, and make strategic decisions. This goes well beyond "I’ve used it before."

This means employers aren't looking for someone who has used Data-driven 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 25% means a notable portion of candidates fall short on Data-driven. Addressing this gap directly in your application materials gives you an edge.

Which roles need Data-driven most:

Other positions drive 50% of demand. Marketing and Product Management also frequently list Data-driven as a requirement. Skills commonly paired with Data-driven include Communication and Problem-Solving.

Depth Level Distribution

Proficiency Distribution

How candidates match Data-driven requirements across 4 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
25% (1)
L2 — Basic
0% (0)
L3 — Proficient
0% (0)
L4 — Advanced
0% (0)
L5 — Expert
75% (3)
DOMINANT

Average depth: L4.0·Median depth: L5.0

Salary Correlation

Pay Impact

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

Without Data-driven

$139K

Median $130K

978 jobs

Skill Demand Insight

Data-driven appears in 0.1% of all scored jobs.”

From 4 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data-driven

Role Breakdown

Top Role Categories

Job categories most likely to require Data-driven

Gap Analysis

Gap Rate Explained

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

25%

Low gap rate — most candidates are reasonably qualified

When Data-driven appears in a job's requirements, 25% 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 in demand in 2026?

Yes. Data-driven appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 4 analyzed jobs, demand is steady across multiple role types.

What level of Data-driven 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 increase salary?

Salary data for Data-driven is still accumulating.

What other skills pair with Data-driven?

The most common pairings are Communication, Problem-Solving, Strategic Oversight, Client Success Management, Financial Technology Industry Knowledge. Strengthening these alongside Data-driven improves your fit across more positions.

What roles need Data-driven the most?

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

How do I improve my Data-driven 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 job requirements

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