Skill Demand Index
Regression Analysis — Demand & Depth Analysis
Based on 3 scored job postings out of 4,064 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L2
Median Depth
0%
Gap Rate
3
Jobs Analyzed
Basic
Most employers want Regression Analysis at basic competency with practical application.
Overview
What is Regression Analysis?
Market context for Regression Analysis in the current job market
Regression 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 Regression Analysis typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Regression Analysis:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L2 depth — foundational knowledge with practical application
- •Most demand comes from Other roles — 33% of all Regression Analysis jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with Regression Analysis — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Regression 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 0% means most candidates have adequate Regression Analysis proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Regression Analysis most:
Other positions drive 33% of demand. Data Analysis and Data Science / ML also frequently list Regression Analysis as a requirement. Skills commonly paired with Regression Analysis include Financial Analysis and Financial Modeling.
Depth Level Distribution
Proficiency Distribution
How candidates match Regression Analysis requirements across 3 scored evaluations
Average depth: L2.3·Median depth: L2.0
Salary Correlation
Pay Impact
How Regression Analysis affects compensation based on postings with disclosed salary data
Without Regression Analysis
$139K
Median $131K
1101 jobs
Skill Demand Insight
“Regression Analysis appears in 0.1% of all scored jobs.”
From 3 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Regression Analysis
33%
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 Regression Analysis
Gap Analysis
Gap Rate Explained
How often Regression Analysis is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Regression Analysis appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Regression Analysis in demand in 2026?
Yes. Regression Analysis 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 Regression Analysis do most jobs require?
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Does knowing Regression Analysis increase salary?
Salary data for Regression Analysis is still accumulating.
What other skills pair with Regression Analysis?
The most common pairings are Financial Analysis, Financial Modeling, FP&A Experience, Accounting Concepts & US GAAP, SAP ERP & Hyperion/Oracle Financial Planning. Strengthening these alongside Regression Analysis improves your fit across more positions.
What roles need Regression Analysis the most?
Top roles: Other, Data Analysis, Data Science / ML. Other positions have the highest demand at 33% of all Regression Analysis jobs.
How do I improve my Regression Analysis 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 Regression Analysis job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Regression Analysis gaps →See how your depth compares to what employers actually require
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