Skill Demand Index
Based on 2 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L4
Median Depth
0%
Gap Rate
2
Jobs Analyzed
Proficient
Most employers want Analytics & Attribution at hands-on daily use, not textbook knowledge.
Overview
Market context for Analytics & Attribution in the current job market
Analytics & Attribution is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Analytics & Attribution typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Analytics & Attribution:
What L4 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with Analytics & Attribution without needing supervision or constant guidance.
This means employers aren't looking for someone who has used Analytics & Attribution 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 Analytics & Attribution proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Analytics & Attribution most:
Marketing positions drive 100% of demand. Skills commonly paired with Analytics & Attribution include Content Strategy and Storytelling.
Depth Level Distribution
How candidates match Analytics & Attribution requirements across 2 scored evaluations
Average depth: L3.5·Median depth: L3.5
Salary Correlation
How Analytics & Attribution affects compensation based on postings with disclosed salary data
Without Analytics & Attribution
$137K
Median $130K
454 jobs
Skill Demand Insight
“Analytics & Attribution appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Other skills that frequently appear alongside Analytics & Attribution
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
Role Breakdown
Job categories most likely to require Analytics & Attribution
Gap Analysis
How often Analytics & Attribution is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Analytics & Attribution appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Analytics & Attribution 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.
The median required depth is L4. Most roles expect intermediate competency — independent work without supervision.
Salary data for Analytics & Attribution is still accumulating.
The most common pairings are Content Strategy, Storytelling, SEO, Public Relations, A/B Testing. Strengthening these alongside Analytics & Attribution improves your fit across more positions.
Top roles: Marketing. Marketing positions have the highest demand at 100% of all Analytics & Attribution jobs.
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 Analytics & Attribution job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Analytics & Attribution gaps →See how your depth compares to what employers actually require
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