Skill Demand Index
Based on 2 scored job postings out of 2,412 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L2
Median Depth
50%
Gap Rate
2
Jobs Analyzed
Minimal
Most employers want Analytics Engineering at introductory awareness.
Overview
Market context for Analytics Engineering in the current job market
Analytics Engineering is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Analytics Engineering typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Analytics Engineering:
What L2 means in practice:
L2 (Basic) means you’ve built small things with Analytics Engineering — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Analytics Engineering 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 50% means most applicants lack Analytics Engineering at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Analytics Engineering most:
Software Engineering positions drive 50% of demand. Data Science / ML also frequently list Analytics Engineering as a requirement. Skills commonly paired with Analytics Engineering include SQL.
Depth Level Distribution
How candidates match Analytics Engineering requirements across 2 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
How Analytics Engineering affects compensation based on postings with disclosed salary data
Without Analytics Engineering
$137K
Median $130K
450 jobs
Skill Demand Insight
“Analytics Engineering appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Other skills that frequently appear alongside Analytics Engineering
Role Breakdown
Job categories most likely to require Analytics Engineering
Gap Analysis
How often Analytics Engineering is identified as a skill gap (L0–L1) in scored applications
Moderate gap rate — many candidates lack this skill
When Analytics Engineering appears in a job's requirements, 50% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Analytics Engineering appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 analyzed jobs, demand is steady across multiple role types.
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Salary data for Analytics Engineering is still accumulating.
The most common pairings are SQL, Data Pipelines, DBT, Github, Financial Services Data Sets. Strengthening these alongside Analytics Engineering improves your fit across more positions.
Top roles: Software Engineering, Data Science / ML. Software Engineering positions have the highest demand at 50% of all Analytics Engineering jobs.
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 Analytics Engineering job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Analytics Engineering gaps →See how your depth compares to what employers actually require
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