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
L3
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Proficient
Most employers want Data Science and Analytics Experience at hands-on daily use, not textbook knowledge.
Overview
Market context for Data Science and Analytics Experience in the current job market
Data Science and Analytics Experience is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Science and Analytics Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Science and Analytics Experience:
What L3 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with Data Science and Analytics Experience without needing supervision or constant guidance.
This means employers aren't looking for someone who has used Data Science and Analytics Experience 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 Science and Analytics Experience proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Science and Analytics Experience most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Data Science and Analytics Experience include Bachelor’s degree in a quantitative field.
Depth Level Distribution
How candidates match Data Science and Analytics Experience requirements across 1 scored evaluations
Average depth: L3.0·Median depth: L3.0
Salary Correlation
How Data Science and Analytics Experience affects compensation based on postings with disclosed salary data
Without Data Science and Analytics Experience
$137K
Median $130K
454 jobs
Skill Demand Insight
“Data Science and Analytics Experience appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Science and Analytics Experience
Role Breakdown
Job categories most likely to require Data Science and Analytics Experience
Gap Analysis
How often Data Science and Analytics Experience is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Science and Analytics Experience appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Science and Analytics Experience 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 L3. Most roles expect intermediate competency — independent work without supervision.
Salary data for Data Science and Analytics Experience is still accumulating.
The most common pairings are Bachelor’s degree in a quantitative field, Critical Thinking and Storytelling Skills, Data Visualization, SQL, Statistical/Programming Language. Strengthening these alongside Data Science and Analytics Experience improves your fit across more positions.
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Data Science and Analytics Experience 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 Science and Analytics Experience job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Science and Analytics Experience gaps →See how your depth compares to what employers actually require
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