Skill Demand Index
Based on 1 scored job postings out of 2,412 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L2
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Basic
Most employers want Power BI Language (DAX, Power Query) at basic competency with practical application.
Overview
Market context for Power BI Language (DAX, Power Query) in the current job market
Power BI Language (DAX, Power Query) is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Power BI Language (DAX, Power Query) typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Power BI Language (DAX, Power Query):
What L2 means in practice:
L2 (Basic) means you’ve built small things with Power BI Language (DAX, Power Query) — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Power BI Language (DAX, Power Query) 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 Power BI Language (DAX, Power Query) proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Power BI Language (DAX, Power Query) most:
Other positions drive 100% of demand. Skills commonly paired with Power BI Language (DAX, Power Query) include Bachelor’s degree in Computer Science, Computer Engineering or related field.
Depth Level Distribution
How candidates match Power BI Language (DAX, Power Query) requirements across 1 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
How Power BI Language (DAX, Power Query) affects compensation based on postings with disclosed salary data
Without Power BI Language (DAX, Power Query)
$137K
Median $130K
450 jobs
Skill Demand Insight
“Power BI Language (DAX, Power Query) appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Power BI Language (DAX, Power Query)
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
Role Breakdown
Job categories most likely to require Power BI Language (DAX, Power Query)
Gap Analysis
How often Power BI Language (DAX, Power Query) is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Power BI Language (DAX, Power Query) appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Power BI Language (DAX, Power Query) appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 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 Power BI Language (DAX, Power Query) is still accumulating.
The most common pairings are Bachelor’s degree in Computer Science, Computer Engineering or related field, Complex SQL Development, Data Modeling, Agile Experience, Data Warehousing. Strengthening these alongside Power BI Language (DAX, Power Query) improves your fit across more positions.
Top roles: Other. Other positions have the highest demand at 100% of all Power BI Language (DAX, Power Query) 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 Power BI Language (DAX, Power Query) job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Power BI Language (DAX, Power Query) gaps →See how your depth compares to what employers actually require
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