Skill Demand Index

Predictive Analytics — Demand & Depth Analysis

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

0.1%

Demand Rate

L3

Median Depth

0%

Gap Rate

3

Jobs Analyzed

L367% of postings

Proficient

Most employers want Predictive Analytics at hands-on daily use, not textbook knowledge.

Overview

What is Predictive Analytics?

Market context for Predictive Analytics in the current job market

Predictive Analytics is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Predictive Analytics typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Predictive Analytics:

  • Required in 0.1% of all scored postingsdemand is growing as more employers add it to requirements
  • Employers typically expect L3 depthhands-on proficiency, not surface awareness
  • Most demand comes from Software Engineering roles33% of all Predictive Analytics jobs

What L3 means in practice:

L3 (Proficient) means daily professional use. You should be able to work independently with Predictive Analytics without needing supervision or constant guidance.

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

Which roles need Predictive Analytics most:

Software Engineering positions drive 33% of demand. Data Science / ML and Other also frequently list Predictive Analytics as a requirement. Skills commonly paired with Predictive Analytics include Data Science and Python/R.

Depth Level Distribution

Proficiency Distribution

How candidates match Predictive Analytics requirements across 3 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
0% (0)
L2 — Basic
33% (1)
L3 — Proficient
67% (2)
DOMINANT
L4 — Advanced
0% (0)
L5 — Expert
0% (0)

Average depth: L2.7·Median depth: L3.0

Salary Correlation

Pay Impact

How Predictive Analytics affects compensation based on postings with disclosed salary data

Without Predictive Analytics

$139K

Median $130K

978 jobs

Skill Demand Insight

Predictive Analytics appears in 0.1% of all scored jobs.”

From 3 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Predictive Analytics

Role Breakdown

Top Role Categories

Job categories most likely to require Predictive Analytics

Gap Analysis

Gap Rate Explained

How often Predictive Analytics is identified as a skill gap (L0–L1) in scored applications

0%

Very low gap rate — candidates generally have this skill

When Predictive Analytics 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 Predictive Analytics in demand in 2026?

Yes. Predictive Analytics appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 3 analyzed jobs, demand is steady across multiple role types.

What level of Predictive Analytics do most jobs require?

The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.

Does knowing Predictive Analytics increase salary?

Salary data for Predictive Analytics is still accumulating.

What other skills pair with Predictive Analytics?

The most common pairings are Data Science, Python/R, SQL, Statistical Modeling, Communication. Strengthening these alongside Predictive Analytics improves your fit across more positions.

What roles need Predictive Analytics the most?

Top roles: Software Engineering, Data Science / ML, Other. Software Engineering positions have the highest demand at 33% of all Predictive Analytics jobs.

How do I improve my Predictive Analytics 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 Predictive Analytics job requirements

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