Skill Demand Index
Sales data analysis — Demand & Depth Analysis
Based on 3 scored job postings out of 4,698 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L4
Median Depth
0%
Gap Rate
3
Jobs Analyzed
Proficient
Most employers want Sales data analysis at hands-on daily use, not textbook knowledge.
Overview
What is Sales data analysis?
Market context for Sales data analysis in the current job market
Sales 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 Sales data analysis typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Sales data analysis:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L4 depth — architect-level, not just familiarity
- •Most demand comes from Marketing roles — 67% of all Sales data analysis jobs
What L4 means in practice:
L4 (Advanced) means solving hard problems, optimizing workflows, and mentoring others. Employers want someone who can be the go-to person for Sales data analysis on their team.
This means employers aren't looking for someone who has used Sales 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 0% means most candidates have adequate Sales data analysis proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Sales data analysis most:
Marketing positions drive 67% of demand. Other also frequently list Sales data analysis as a requirement. Skills commonly paired with Sales data analysis include E-commerce and Online selling platforms.
Depth Level Distribution
Proficiency Distribution
How candidates match Sales data analysis requirements across 3 scored evaluations
Average depth: L4.0·Median depth: L4.0
Salary Correlation
Pay Impact
How Sales data analysis affects compensation based on postings with disclosed salary data
Without Sales data analysis
$140K
Median $132K
1265 jobs
Skill Demand Insight
“Sales data 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 Sales data 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 Sales data analysis
Gap Analysis
Gap Rate Explained
How often Sales data analysis is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Sales data analysis appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Sales data analysis in demand in 2026?
Yes. Sales data 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 Sales data analysis do most jobs require?
The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Does knowing Sales data analysis increase salary?
Salary data for Sales data analysis is still accumulating.
What other skills pair with Sales data analysis?
The most common pairings are E-commerce, Online selling platforms, Product Listing Optimization, Customer Service, Retail Experience. Strengthening these alongside Sales data analysis improves your fit across more positions.
What roles need Sales data analysis the most?
Top roles: Marketing, Other. Marketing positions have the highest demand at 67% of all Sales data analysis jobs.
How do I improve my Sales data 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 Sales data analysis job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Sales data analysis gaps →See how your depth compares to what employers actually require
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