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Skill Demand Index

Data Analytics — Demand & Depth Analysis

Based on 37 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.7%

Demand Rate

L4

Median Depth

0%

Gap Rate

37

Jobs Analyzed

L338% of postings

Proficient

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

Overview

What is Data Analytics?

Market context for Data Analytics in the current job market

Data Analytics is required in 0.7% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analytics typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Data Analytics:

  • •Required in 0.7% 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 Data Analysis roles — 49% of all Data Analytics jobs
  • •Median salary for roles requiring Data Analytics: $147K vs $133K for roles that don't — a $10K 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 Analytics on their team.

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

Which roles need Data Analytics most:

Data Analysis positions drive 49% of demand. Other and Marketing also frequently list Data Analytics as a requirement. Skills commonly paired with Data Analytics include SQL and Bachelor's Degree.

Depth Level Distribution

Proficiency Distribution

How candidates match Data Analytics requirements across 37 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
0% (0)
L2 — Basic
3% (1)
L3 — Proficient
38% (14)
DOMINANT
L4 — Advanced
35% (13)
L5 — Expert
24% (9)

Average depth: L3.8·Median depth: L4.0

Salary Correlation

Pay Impact

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

With Data Analytics

$150K

Median $147K

10 jobs

Without Data Analytics

$141K

Median $133K

1219 jobs

↑ $10K higher

for roles requiring Data Analytics

Skill Demand Insight

“Data Analytics appears in 0.7% of all scored jobs.”

From 37 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data Analytics

Role Breakdown

Top Role Categories

Job categories most likely to require Data Analytics

Gap Analysis

Gap Rate Explained

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

0%

Very low gap rate — candidates generally have this skill

When Data 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 Data Analytics in demand in 2026?

Yes. Data Analytics appears in 0.7% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 37 analyzed jobs, demand is steady across multiple role types.

What level of Data Analytics do most jobs require?

The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.

Does knowing Data Analytics increase salary?

Jobs requiring Data Analytics pay +$10K more on average. This salary premium makes it a high-value skill to develop.

What other skills pair with Data Analytics?

The most common pairings are SQL, Bachelor's Degree, Communication Skills, Salesforce, Communication. Strengthening these alongside Data Analytics improves your fit across more positions.

What roles need Data Analytics the most?

Top roles: Data Analysis, Other, Marketing, Sales. Data Analysis positions have the highest demand at 49% of all Data Analytics jobs.

How do I improve my Data 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 Data Analytics job requirements

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