Skill Demand Index

Data Analysis (Excel/SQL) — Demand & Depth Analysis

Based on 3 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.1%

Demand Rate

Median Depth

33%

Gap Rate

Jobs Analyzed

Minimal

Most employers want Data Analysis (Excel/SQL) at introductory awareness.

Overview

What is Data Analysis (Excel/SQL)?

Market context for Data Analysis (Excel/SQL) in the current job market

Data Analysis (Excel/SQL) is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analysis (Excel/SQL) typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Data Analysis (Excel/SQL):

•Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
•Employers typically expect L3 depth — hands-on proficiency, not surface awareness
•Most demand comes from Project Management roles — 33% of all Data Analysis (Excel/SQL) jobs

What L3 means in practice:

L3 (Proficient) means daily professional use. You should be able to work independently with Data Analysis (Excel/SQL) without needing supervision or constant guidance.

This means employers aren't looking for someone who has used Data Analysis (Excel/SQL) 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 33% means a notable portion of candidates fall short on Data Analysis (Excel/SQL). Addressing this gap directly in your application materials gives you an edge.

Which roles need Data Analysis (Excel/SQL) most:

Project Management positions drive 33% of demand. Operations and Data Analysis also frequently list Data Analysis (Excel/SQL) as a requirement. Skills commonly paired with Data Analysis (Excel/SQL) include Quantitative & Qualitative Research and Stakeholder Communication.

Depth Level Distribution

Proficiency Distribution

How candidates match Data Analysis (Excel/SQL) requirements across 3 scored evaluations

L0 — Missing

0% (0)

L1 — Minimal

33% (1)

DOMINANT

L2 — Basic

0% (0)

L3 — Proficient

33% (1)

L4 — Advanced

33% (1)

L5 — Expert

0% (0)

Average depth: L2.7·Median depth: L3.0

Salary Correlation

Pay Impact

How Data Analysis (Excel/SQL) affects compensation based on postings with disclosed salary data

Without Data Analysis (Excel/SQL)

$140K

Median $133K

1236 jobs

Estimate salary for a specific role

Skill Demand Insight

“Data Analysis (Excel/SQL) appears in 0.1% of all scored jobs.”

From 3 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data Analysis (Excel/SQL)

Quantitative & Qualitative ResearchTOP

67%

co-occurrence

Stakeholder CommunicationTOP

67%

co-occurrence

Report & Memo WritingTOP

67%

co-occurrence

Analytical Writing

67%

co-occurrence

Business Analysis & Requirements Gathering

67%

co-occurrence

Process Improvement & Operations Management

67%

co-occurrence

Program/Project Mgmt

33%

co-occurrence

Process Improvement

33%

co-occurrence

Role Breakdown

Top Role Categories

Job categories most likely to require Data Analysis (Excel/SQL)

1Project Management

33%

2Operations

33%

3Data Analysis

33%

Gap Analysis

Gap Rate Explained

How often Data Analysis (Excel/SQL) is identified as a skill gap (L0–L1) in scored applications

33%

Moderate gap rate — many candidates lack this skill

When Data Analysis (Excel/SQL) appears in a job's requirements, 33% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is Data Analysis (Excel/SQL) in demand in 2026?

Yes. Data Analysis (Excel/SQL) appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 3 analyzed jobs, demand is steady across multiple role types.

What level of Data Analysis (Excel/SQL) do most jobs require?

The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.

Does knowing Data Analysis (Excel/SQL) increase salary?

Salary data for Data Analysis (Excel/SQL) is still accumulating.

What other skills pair with Data Analysis (Excel/SQL)?

The most common pairings are Quantitative & Qualitative Research, Stakeholder Communication, Report & Memo Writing, Analytical Writing, Business Analysis & Requirements Gathering. Strengthening these alongside Data Analysis (Excel/SQL) improves your fit across more positions.

What roles need Data Analysis (Excel/SQL) the most?

Top roles: Project Management, Operations, Data Analysis. Project Management positions have the highest demand at 33% of all Data Analysis (Excel/SQL) jobs.

How do I improve my Data Analysis (Excel/SQL) 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.

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