Skill Demand Index
Based on 1 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L4
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Advanced
Most employers want Data-Informed Recommendations at lead-level proficiency, not surface awareness.
Overview
Market context for Data-Informed Recommendations in the current job market
Data-Informed Recommendations is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data-Informed Recommendations typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data-Informed Recommendations:
What L4 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-Informed Recommendations on their team.
This means employers aren't looking for someone who has used Data-Informed Recommendations 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-Informed Recommendations proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data-Informed Recommendations most:
Other positions drive 100% of demand. Skills commonly paired with Data-Informed Recommendations include Communications Experience and Media Monitoring & Analysis.
Depth Level Distribution
How candidates match Data-Informed Recommendations requirements across 1 scored evaluations
Average depth: L4.0·Median depth: L4.0
Salary Correlation
How Data-Informed Recommendations affects compensation based on postings with disclosed salary data
Without Data-Informed Recommendations
$137K
Median $130K
453 jobs
Skill Demand Insight
“Data-Informed Recommendations appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data-Informed Recommendations
Role Breakdown
Job categories most likely to require Data-Informed Recommendations
Gap Analysis
How often Data-Informed Recommendations is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data-Informed Recommendations appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data-Informed Recommendations 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.
The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Salary data for Data-Informed Recommendations is still accumulating.
The most common pairings are Communications Experience, Media Monitoring & Analysis, Public Affairs Research, Message and Polling Research, Muckrack. Strengthening these alongside Data-Informed Recommendations improves your fit across more positions.
Top roles: Other. Other positions have the highest demand at 100% of all Data-Informed Recommendations 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 Data-Informed Recommendations job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data-Informed Recommendations gaps →See how your depth compares to what employers actually require
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