Skill Demand Index

Data translation — Demand & Depth Analysis

Based on 2 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

0%

Gap Rate

2

Jobs Analyzed

L5100% of postings

Expert

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

Overview

What is Data translation?

Market context for Data translation in the current job market

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

What the data shows for Data translation:

  • 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 translation jobs

What L5 means in practice:

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

Which roles need Data translation most:

Other positions drive 50% of demand. Marketing also frequently list Data translation as a requirement. Skills commonly paired with Data translation include Collaboration skills and Wrike administration.

Depth Level Distribution

Proficiency Distribution

How candidates match Data translation requirements across 2 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% (2)
DOMINANT

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

Salary Correlation

Pay Impact

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

Without Data translation

$139K

Median $130K

979 jobs

Skill Demand Insight

Data translation appears in 0.1% of all scored jobs.”

From 2 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data translation

Role Breakdown

Top Role Categories

Job categories most likely to require Data translation

1Other
50%

Gap Analysis

Gap Rate Explained

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

0%

Very low gap rate — candidates generally have this skill

When Data translation 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 translation in demand in 2026?

Yes. Data translation appears in 0.1% 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 translation 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 translation increase salary?

Salary data for Data translation is still accumulating.

What other skills pair with Data translation?

The most common pairings are Collaboration skills, Wrike administration, Portfolio planning, Portfolio Management, Industry Knowledge. Strengthening these alongside Data translation improves your fit across more positions.

What roles need Data translation the most?

Top roles: Other, Marketing. Other positions have the highest demand at 50% of all Data translation jobs.

How do I improve my Data translation 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 translation job requirements

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Analyze my Data translation gaps →

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