Skill Demand Index
Based on 7 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.3%
Demand Rate
L4
Median Depth
0%
Gap Rate
7
Jobs Analyzed
Advanced
Most employers want Data Storytelling at lead-level proficiency, not surface awareness.
Overview
Market context for Data Storytelling in the current job market
Data Storytelling 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 Storytelling typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Storytelling:
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 Storytelling on their team.
This means employers aren't looking for someone who has used Data Storytelling 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 Data Storytelling proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Storytelling most:
Data Analysis positions drive 57% of demand. Other and Marketing also frequently list Data Storytelling as a requirement. Skills commonly paired with Data Storytelling include Marketing Analytics.
Depth Level Distribution
How candidates match Data Storytelling requirements across 7 scored evaluations
Average depth: L4.4·Median depth: L4.0
Salary Correlation
How Data Storytelling affects compensation based on postings with disclosed salary data
Without Data Storytelling
$137K
Median $130K
453 jobs
Skill Demand Insight
“Data Storytelling appears in 0.3% of all scored jobs.”
From 7 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Storytelling
29%
co-occurrence
29%
co-occurrence
14%
co-occurrence
14%
co-occurrence
14%
co-occurrence
14%
co-occurrence
14%
co-occurrence
14%
co-occurrence
Role Breakdown
Job categories most likely to require Data Storytelling
Gap Analysis
How often Data Storytelling is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Storytelling appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Storytelling appears in 0.3% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 7 analyzed jobs, demand is steady across multiple role types.
The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Salary data for Data Storytelling is still accumulating.
The most common pairings are Marketing Analytics, SQL, Stakeholder Communication, B2B Marketing, Tableau. Strengthening these alongside Data Storytelling improves your fit across more positions.
Top roles: Data Analysis, Other, Marketing, Data Science / ML. Data Analysis positions have the highest demand at 57% of all Data Storytelling 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 Data Storytelling job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Storytelling gaps →See how your depth compares to what employers actually require
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