Skill Demand Index

Data Analysis Proficiency — Demand & Depth Analysis

Based on 1 scored job postings out of 4,699 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0%

Demand Rate

L5

Median Depth

0%

Gap Rate

1

Jobs Analyzed

L5100% of postings

Expert

Most employers want Data Analysis Proficiency at architect level, not just familiarity.

Overview

What is Data Analysis Proficiency?

Market context for Data Analysis Proficiency in the current job market

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

What the data shows for Data Analysis Proficiency:

  • Required in 0% 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 Operations roles100% of all Data Analysis Proficiency jobs

What L5 means in practice:

L5 (Expert) means the employer expects someone who can architect systems around Data Analysis Proficiency, 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 Analysis Proficiency 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 Analysis Proficiency proficiency. To stand out, aim for L4-L5 depth with concrete evidence.

Which roles need Data Analysis Proficiency most:

Operations positions drive 100% of demand. Skills commonly paired with Data Analysis Proficiency include user-empathy-product-understanding and bi-tools-sql-looker-snowflake-datadog-excel-sheets.

Depth Level Distribution

Proficiency Distribution

How candidates match Data Analysis Proficiency requirements across 1 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
0% (0)
L2 — Basic
0% (0)
L3 — Proficient
0% (0)
L4 — Advanced
0% (0)
L5 — Expert
100% (1)
DOMINANT

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

Salary Correlation

Pay Impact

How Data Analysis Proficiency affects compensation based on postings with disclosed salary data

Without Data Analysis Proficiency

$140K

Median $131K

1266 jobs

Skill Demand Insight

Data Analysis Proficiency appears in 0% of all scored jobs.”

From 1 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data Analysis Proficiency

Role Breakdown

Top Role Categories

Job categories most likely to require Data Analysis Proficiency

Gap Analysis

Gap Rate Explained

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

0%

Very low gap rate — candidates generally have this skill

When Data Analysis Proficiency 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 Analysis Proficiency in demand in 2026?

Yes. Data Analysis Proficiency appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.

What level of Data Analysis Proficiency 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 Analysis Proficiency increase salary?

Salary data for Data Analysis Proficiency is still accumulating.

What other skills pair with Data Analysis Proficiency?

The most common pairings are user-empathy-product-understanding, bi-tools-sql-looker-snowflake-datadog-excel-sheets, fast-paced-product-driven-tech-company-experience, Product Operations Experience, technical-knowledge-software-development. Strengthening these alongside Data Analysis Proficiency improves your fit across more positions.

What roles need Data Analysis Proficiency the most?

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

How do I improve my Data Analysis Proficiency 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 Analysis Proficiency job requirements

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