Skill Demand Index
Data Analytics Experience — Demand & Depth Analysis
Based on 13 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.3%
Demand Rate
L4
Median Depth
7.7%
Gap Rate
13
Jobs Analyzed
Proficient
Most employers want Data Analytics Experience at hands-on daily use, not textbook knowledge.
Overview
What is Data Analytics Experience?
Market context for Data Analytics Experience in the current job market
Data Analytics Experience is required in 0.3% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analytics Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analytics Experience:
- •Required in 0.3% 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 Data Analysis roles — 62% of all Data Analytics Experience jobs
- •Median salary for roles requiring Data Analytics Experience: $165K vs $130K for roles that don't — a $15K difference
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 Data Analytics Experience on their team.
This means employers aren't looking for someone who has used Data 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 7.7% means most candidates have adequate Data Analytics Experience proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analytics Experience most:
Data Analysis positions drive 62% of demand. Other and Data Science / ML also frequently list Data Analytics Experience as a requirement. Skills commonly paired with Data Analytics Experience include SQL and Bachelor's Degree.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analytics Experience requirements across 13 scored evaluations
Average depth: L3.5·Median depth: L4.0
Salary Correlation
Pay Impact
How Data Analytics Experience affects compensation based on postings with disclosed salary data
With Data Analytics Experience
$154K
Median $165K
5 jobs
Without Data Analytics Experience
$139K
Median $130K
974 jobs
↑ $15K higher
for roles requiring Data Analytics Experience
Skill Demand Insight
“Data Analytics Experience appears in 0.3% of all scored jobs.”
From 13 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analytics Experience
38%
co-occurrence
15%
co-occurrence
8%
co-occurrence
8%
co-occurrence
8%
co-occurrence
8%
co-occurrence
8%
co-occurrence
8%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Data Analytics Experience
Gap Analysis
Gap Rate Explained
How often Data Analytics Experience is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analytics Experience appears in a job's requirements, 7.7% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Analytics Experience in demand in 2026?
Yes. Data Analytics Experience appears in 0.3% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 13 analyzed jobs, demand is steady across multiple role types.
What level of Data Analytics Experience 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 Data Analytics Experience increase salary?
Jobs requiring Data Analytics Experience pay +$15K more on average. This salary premium makes it a high-value skill to develop.
What other skills pair with Data Analytics Experience?
The most common pairings are SQL, Bachelor's Degree, SQL, Python, Complex SQL Queries, FinTech, Banking, Financial Services Experience, Understanding of IT / BP SOX, ICFR and COSO. Strengthening these alongside Data Analytics Experience improves your fit across more positions.
What roles need Data Analytics Experience the most?
Top roles: Data Analysis, Other, Data Science / ML. Data Analysis positions have the highest demand at 62% of all Data Analytics Experience jobs.
How do I improve my Data Analytics Experience 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 Data Analytics Experience job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analytics Experience gaps →See how your depth compares to what employers actually require
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