Skill Demand Index
Data Analysis and Insights — Demand & Depth Analysis
Based on 3 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
3
Jobs Analyzed
Expert
Most employers want Data Analysis and Insights at architect level, not just familiarity.
Overview
What is Data Analysis and Insights?
Market context for Data Analysis and Insights in the current job market
Data Analysis and Insights 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 Analysis and Insights typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analysis and Insights:
- •Required in 0.1% 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 Product Management roles — 33% of all Data Analysis and Insights jobs
What L5 means in practice:
L5 (Expert) means the employer expects someone who can architect systems around Data Analysis and Insights, 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 Analysis and Insights 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 Analysis and Insights proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analysis and Insights most:
Product Management positions drive 33% of demand. Marketing and Other also frequently list Data Analysis and Insights as a requirement. Skills commonly paired with Data Analysis and Insights include A/B Testing and Website Product Management.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analysis and Insights requirements across 3 scored evaluations
Average depth: L4.7·Median depth: L5.0
Salary Correlation
Pay Impact
How Data Analysis and Insights affects compensation based on postings with disclosed salary data
Without Data Analysis and Insights
$139K
Median $130K
977 jobs
Skill Demand Insight
“Data Analysis and Insights appears in 0.1% of all scored jobs.”
From 3 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analysis and Insights
67%
co-occurrence
33%
co-occurrence
33%
co-occurrence
33%
co-occurrence
33%
co-occurrence
33%
co-occurrence
33%
co-occurrence
33%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Data Analysis and Insights
Gap Analysis
Gap Rate Explained
How often Data Analysis and Insights is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analysis and Insights appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Analysis and Insights in demand in 2026?
Yes. Data Analysis and Insights appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 3 analyzed jobs, demand is steady across multiple role types.
What level of Data Analysis and Insights 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 Analysis and Insights increase salary?
Salary data for Data Analysis and Insights is still accumulating.
What other skills pair with Data Analysis and Insights?
The most common pairings are A/B Testing, Website Product Management, Conversion Rate Optimization (CRO), E-commerce Metrics Optimization, Prioritization and Management. Strengthening these alongside Data Analysis and Insights improves your fit across more positions.
What roles need Data Analysis and Insights the most?
Top roles: Product Management, Marketing, Other. Product Management positions have the highest demand at 33% of all Data Analysis and Insights jobs.
How do I improve my Data Analysis and Insights 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 Analysis and Insights job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analysis and Insights gaps →See how your depth compares to what employers actually require
All Skills · Roles · Companies · Browse Jobs