Skip to content

Skill Demand Index

Data and Analytics — Demand & Depth Analysis

Based on 2 scored job postings out of 4,989 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0%

Demand Rate

L3

Median Depth

0%

Gap Rate

2

Jobs Analyzed

L250% of postings

Basic

Most employers want Data and Analytics at basic competency with practical application.

Overview

What is Data and Analytics?

Market context for Data and Analytics in the current job market

Data and Analytics is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data and Analytics typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Data and Analytics:

  • Required in 0% 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 Data Analysis roles100% of all Data and Analytics jobs

What L3 means in practice:

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

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

Which roles need Data and Analytics most:

Data Analysis positions drive 100% of demand. Skills commonly paired with Data and Analytics include Salesforce Experience and B2B SaaS Experience.

Depth Level Distribution

Proficiency Distribution

How candidates match Data and Analytics requirements across 2 scored evaluations

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

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

Salary Correlation

Pay Impact

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

Without Data and Analytics

$140K

Median $131K

1365 jobs

Skill Demand Insight

Data and Analytics appears in 0% of all scored jobs.”

From 2 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data and Analytics

Role Breakdown

Top Role Categories

Job categories most likely to require Data and Analytics

Gap Analysis

Gap Rate Explained

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

0%

Very low gap rate — candidates generally have this skill

When Data and 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 and Analytics in demand in 2026?

Yes. Data and Analytics 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 and Analytics do most jobs require?

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

Does knowing Data and Analytics increase salary?

Salary data for Data and Analytics is still accumulating.

What other skills pair with Data and Analytics?

The most common pairings are Salesforce Experience, B2B SaaS Experience, Leading Complex Cross-Functional Programs, Customer Success Operations Experience, Customer Success/Go-To-Market Processes. Strengthening these alongside Data and Analytics improves your fit across more positions.

What roles need Data and Analytics the most?

Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Data and Analytics jobs.

How do I improve my Data and 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 and Analytics job requirements

ShouldApply scores your profile against each skill at the depth level jobs actually need.

Analyze my Data and Analytics gaps →

See how your depth compares to what employers actually require

All Skills · Roles · Companies · Browse Jobs