Skill Demand Index
Product/Marketing Analytics — Demand & Depth Analysis
Based on 1 scored job postings out of 4,698 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L4
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Advanced
Most employers want Product/Marketing Analytics at lead-level proficiency, not surface awareness.
Overview
What is Product/Marketing Analytics?
Market context for Product/Marketing Analytics in the current job market
Product/Marketing Analytics is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Product/Marketing Analytics typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Product/Marketing Analytics:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L4 depth — architect-level, not just familiarity
- •Most demand comes from Data Analysis roles — 100% of all Product/Marketing Analytics jobs
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 Product/Marketing Analytics on their team.
This means employers aren't looking for someone who has used Product/Marketing Analytics 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 Product/Marketing Analytics proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Product/Marketing Analytics most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Product/Marketing Analytics include Startup Environment and Data Pipelines/Integrations.
Depth Level Distribution
Proficiency Distribution
How candidates match Product/Marketing Analytics requirements across 1 scored evaluations
Average depth: L4.0·Median depth: L4.0
Salary Correlation
Pay Impact
How Product/Marketing Analytics affects compensation based on postings with disclosed salary data
Without Product/Marketing Analytics
$140K
Median $132K
1264 jobs
Skill Demand Insight
“Product/Marketing Analytics appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Product/Marketing Analytics
Role Breakdown
Top Role Categories
Job categories most likely to require Product/Marketing Analytics
Gap Analysis
Gap Rate Explained
How often Product/Marketing Analytics is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Product/Marketing Analytics appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Product/Marketing Analytics in demand in 2026?
Yes. Product/Marketing Analytics 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.
What level of Product/Marketing Analytics do most jobs require?
The median required depth is L4. Most employers want advanced proficiency — candidates who can lead projects and optimize processes.
Does knowing Product/Marketing Analytics increase salary?
Salary data for Product/Marketing Analytics is still accumulating.
What other skills pair with Product/Marketing Analytics?
The most common pairings are Startup Environment, Data Pipelines/Integrations, Event Tracking Instrumentation, Data Analysis (3+ years), Data Queries/Statistical Tools (SQL, R, Python). Strengthening these alongside Product/Marketing Analytics improves your fit across more positions.
What roles need Product/Marketing Analytics the most?
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Product/Marketing Analytics jobs.
How do I improve my Product/Marketing Analytics 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 Product/Marketing Analytics job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Product/Marketing Analytics gaps →See how your depth compares to what employers actually require
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