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Skill Demand Index

Data Translation — Demand & Depth Analysis

Based on 2 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0%

Demand Rate

L5

Median Depth

0%

Gap Rate

2

Jobs Analyzed

L450% of postings

Advanced

Most employers want Data Translation at lead-level proficiency, not surface awareness.

Overview

What is Data Translation?

Market context for Data Translation in the current job market

Data Translation is required in 0% 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% of all scored postings — demand is growing as more employers add it to requirements
  • •Employers typically expect L5 depth — architect-level, not just familiarity
  • •Most demand comes from Marketing roles — 50% of all Data Translation jobs

What L5 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 Translation on their team.

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:

Marketing positions drive 50% of demand. Other also frequently list Data Translation as a requirement. Skills commonly paired with Data Translation include Program Management and Cross-functional Collaboration.

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
50% (1)
DOMINANT
L5 — Expert
50% (1)

Average depth: L4.5·Median depth: L4.5

Salary Correlation

Pay Impact

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

Without Data Translation

$141K

Median $133K

1238 jobs

Skill Demand Insight

“Data Translation appears in 0% 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

2Other
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% 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 Program Management, Cross-functional Collaboration, Bachelor's Degree, Executive Communications, Planning Processes. Strengthening these alongside Data Translation improves your fit across more positions.

What roles need Data Translation the most?

Top roles: Marketing, Other. Marketing 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

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

Analyze my Data Translation gaps →

See how your depth compares to what employers actually require

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