dbt Data Modeling — Demand & Depth Analysis

What the data shows for dbt Data Modeling:

• •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
• •Scored evaluations land at L0 at the median: the requirement gets listed, and half or more of those evaluations showed no depth behind it
• •Most demand comes from Data Analysis roles — 100% of all dbt Data Modeling jobs

What L0 means in practice:

L0 (Missing) means most of these scored evaluations showed no demonstrated dbt Data Modeling at all. Employers still list it, so it reads as an open gap rather than a bar most candidates are clearing.

This means employers aren't looking for someone who has used dbt Data Modeling 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 100% means most applicants lack dbt Data Modeling at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.

Which roles need dbt Data Modeling most:

Data Analysis positions drive 100% of demand. Skills commonly paired with dbt Data Modeling include Experience in Growth-Stage Tech and Analytical Judgment.