Skill Demand Index
Data Management & Analytics — Demand & Depth Analysis
Based on 4 scored job postings out of 4,699 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L3
Median Depth
25%
Gap Rate
4
Jobs Analyzed
Proficient
Most employers want Data Management & Analytics at hands-on daily use, not textbook knowledge.
Overview
What is Data Management & Analytics?
Market context for Data Management & Analytics in the current job market
Data Management & Analytics 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 Management & Analytics typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Management & Analytics:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L3 depth — hands-on proficiency, not surface awareness
- •Most demand comes from Marketing roles — 50% of all Data Management & Analytics jobs
What L3 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with Data Management & Analytics without needing supervision or constant guidance.
This means employers aren't looking for someone who has used Data Management & 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 25% means a notable portion of candidates fall short on Data Management & Analytics. Addressing this gap directly in your application materials gives you an edge.
Which roles need Data Management & Analytics most:
Marketing positions drive 50% of demand. Other and Data Analysis also frequently list Data Management & Analytics as a requirement. Skills commonly paired with Data Management & Analytics include SQL and Technical Degree.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Management & Analytics requirements across 4 scored evaluations
Average depth: L2.3·Median depth: L3.0
Salary Correlation
Pay Impact
How Data Management & Analytics affects compensation based on postings with disclosed salary data
Without Data Management & Analytics
$140K
Median $131K
1266 jobs
Skill Demand Insight
“Data Management & Analytics appears in 0.1% of all scored jobs.”
From 4 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Management & Analytics
Role Breakdown
Top Role Categories
Job categories most likely to require Data Management & Analytics
Gap Analysis
Gap Rate Explained
How often Data Management & Analytics is identified as a skill gap (L0–L1) in scored applications
Low gap rate — most candidates are reasonably qualified
When Data Management & Analytics appears in a job's requirements, 25% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Management & Analytics in demand in 2026?
Yes. Data Management & Analytics appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 4 analyzed jobs, demand is steady across multiple role types.
What level of Data Management & Analytics do most jobs require?
The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.
Does knowing Data Management & Analytics increase salary?
Salary data for Data Management & Analytics is still accumulating.
What other skills pair with Data Management & Analytics?
The most common pairings are SQL, Technical Degree, Relevant Experience (6 years), Program Support & Administration, Government Contracting Context. Strengthening these alongside Data Management & Analytics improves your fit across more positions.
What roles need Data Management & Analytics the most?
Top roles: Marketing, Other, Data Analysis. Marketing positions have the highest demand at 50% of all Data Management & Analytics jobs.
How do I improve my Data Management & 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 Management & Analytics job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Management & Analytics gaps →See how your depth compares to what employers actually require
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