Skill Demand Index
Python for Data Analysis — Demand & Depth Analysis
Based on 6 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L1
Median Depth
67%
Gap Rate
6
Jobs Analyzed
Minimal
Most employers want Python for Data Analysis at introductory awareness.
Overview
What is Python for Data Analysis?
Market context for Python for Data Analysis in the current job market
Python for Data Analysis is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Python for Data Analysis typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Python for Data Analysis:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L1 depth — foundational knowledge with practical application
- •Most demand comes from Data Analysis roles — 67% of all Python for Data Analysis jobs
What L1 means in practice:
L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.
This means employers aren't looking for someone who has used Python for Data Analysis 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 67% means most applicants lack Python for Data Analysis at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Python for Data Analysis most:
Data Analysis positions drive 67% of demand. Other and Data Science / ML also frequently list Python for Data Analysis as a requirement. Skills commonly paired with Python for Data Analysis include Business Acumen and SQL Skills.
Depth Level Distribution
Proficiency Distribution
How candidates match Python for Data Analysis requirements across 6 scored evaluations
Average depth: L1.3·Median depth: L1.0
Salary Correlation
Pay Impact
How Python for Data Analysis affects compensation based on postings with disclosed salary data
Without Python for Data Analysis
$141K
Median $133K
1235 jobs
Skill Demand Insight
“Python for Data Analysis appears in 0.1% of all scored jobs.”
From 6 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Python for Data Analysis
33%
co-occurrence
33%
co-occurrence
17%
co-occurrence
17%
co-occurrence
17%
co-occurrence
17%
co-occurrence
17%
co-occurrence
17%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Python for Data Analysis
Gap Analysis
Gap Rate Explained
How often Python for Data Analysis is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Python for Data Analysis appears in a job's requirements, 67% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
See how you stack up against Python for Data Analysis job requirements
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