Skill Demand Index
Data Analytics Experience — Demand & Depth Analysis
Based on 19 scored job postings out of 4,003 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.5%
Demand Rate
L3
Median Depth
5.3%
Gap Rate
19
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 0.5% 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 0.5% 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 — 58% of all Data Analytics Experience jobs
- •Median salary for roles requiring Data Analytics Experience: $154K vs $130K for roles that don't — a $10K difference
What L3 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with Data Analytics Experience without needing supervision or constant guidance.
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 5.3% 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 58% 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 19 scored evaluations
Average depth: L3.4·Median depth: L3.0
Salary Correlation
Pay Impact
How Data Analytics Experience affects compensation based on postings with disclosed salary data
With Data Analytics Experience
$150K
Median $154K
8 jobs
Without Data Analytics Experience
$139K
Median $130K
1069 jobs
↑ $10K higher
for roles requiring Data Analytics Experience
Skill Demand Insight
“Data Analytics Experience appears in 0.5% of all scored jobs.”
From 19 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analytics Experience
32%
co-occurrence
21%
co-occurrence
16%
co-occurrence
5%
co-occurrence
5%
co-occurrence
5%
co-occurrence
5%
co-occurrence
5%
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, 5.3% 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 0.5% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 19 analyzed jobs, demand is steady across multiple role types.
What level of Data Analytics Experience do most jobs require?
The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.
Does knowing Data Analytics Experience increase salary?
Jobs requiring Data Analytics Experience pay +$10K 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 proficiency, SQL, Python, Complex SQL Queries, FinTech, Banking, Financial Services Experience. 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 58% 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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