Skill Demand Index
Analytics/Data Science Experience — Demand & Depth Analysis
Based on 2 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L3
Median Depth
0%
Gap Rate
2
Jobs Analyzed
Proficient
Most employers want Analytics/Data Science Experience at hands-on daily use, not textbook knowledge.
Overview
What is Analytics/Data Science Experience?
Market context for Analytics/Data Science Experience in the current job market
Analytics/Data Science Experience is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Analytics/Data Science Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Analytics/Data Science Experience:
- •Required in 0% 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 Data Analysis roles — 50% of all Analytics/Data Science Experience jobs
What L3 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with Analytics/Data Science Experience without needing supervision or constant guidance.
This means employers aren't looking for someone who has used Analytics/Data Science 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 Analytics/Data Science Experience proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Analytics/Data Science Experience most:
Data Analysis positions drive 50% of demand. Other also frequently list Analytics/Data Science Experience as a requirement. Skills commonly paired with Analytics/Data Science Experience include Funnel/Conversion Analytics & Experimentation and SQL, Python/R.
Depth Level Distribution
Proficiency Distribution
How candidates match Analytics/Data Science Experience requirements across 2 scored evaluations
Average depth: L3.0·Median depth: L3.0
Salary Correlation
Pay Impact
How Analytics/Data Science Experience affects compensation based on postings with disclosed salary data
Without Analytics/Data Science Experience
$140K
Median $133K
1235 jobs
Skill Demand Insight
“Analytics/Data Science Experience appears in 0% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Analytics/Data Science Experience
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
Top Role Categories
Job categories most likely to require Analytics/Data Science Experience
Gap Analysis
Gap Rate Explained
How often Analytics/Data Science Experience is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Analytics/Data Science Experience appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
See how you stack up against Analytics/Data Science Experience job requirements
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