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2026 skill intelligence

Data Analysis

Which roles require it and how much it matters — mapped across real job-role profiles.

Short answer: Data Analysis is asked for by 42 of the 103 job-role profiles Skilture maps, and is a core requirement in 10 — most heavily by Business Analyst, Compensation & Benefits Analyst and IT Business Analyst.

Source: Skilture's 103 job-role profiles · Updated

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Data Analysis snapshot103 roles mapped
Roles that list it
42 of 103
Core requirement
10 rolesnon-negotiable there
Skill type
Technicalhard, teachable
Where it is asked for

Who hires for Data Analysis?

The roles in Skilture's catalogue that list Data Analysis, and how heavily each one weights it.

Auditor

important

Required as a hard skill.

Automobile Engineer

optional

Required as a hard skill.

Bioinformatics Scientist

important

Required as a hard skill.

Brand Manager

important

Required as a hard skill.

Business Analyst

core

Required as a hard skill.

Business Development Executive

optional

Required as a hard skill.

Chartered Accountant

optional

Required as a hard skill.

Chemical Engineer

optional

Required as a hard skill.

Clinical Data Manager

important

Required as a hard skill.

Compensation & Benefits Analyst

core

Required as a hard skill.

Compliance Officer

optional

Required as a hard skill.

Curriculum Developer

important

Required as a hard skill.

Customer Support Executive

optional

Required as a hard skill.

HR Business Partner

important

Required as a hard skill.

HR Generalist

optional

Required as a hard skill.

Instrumentation Engineer

optional

Required as a hard skill.

IT Business Analyst

core

Required as a hard skill.

Learning & Development Specialist

important

Required as a hard skill.

Legal Associate

optional

Required as a hard skill.

Management Consultant

core

Required as a hard skill.

Manufacturing Engineer

optional

Required as a hard skill.

Marketing Analyst

core

Required as a hard skill.

Medical Coder

important

Required as a hard skill.

Medical Lab Technologist

important

Required as a hard skill.

Operations Manager

optional

Required as a hard skill.

Paralegal

important

Required as a hard skill.

Payroll Specialist

important

Required as a hard skill.

Performance Marketing Manager

core

Required as a hard skill.

Pharmacist

optional

Required as a hard skill.

Physiotherapist

optional

Required as a hard skill.

Procurement Specialist

important

Required as a hard skill.

Product Manager

core

Required as a hard skill.

Quantity Surveyor

optional

Required as a hard skill.

Regulatory Affairs Associate

optional

Required as a hard skill.

Sales Executive

optional

Required as a hard skill.

School Teacher

optional

Required as a hard skill.

SEO Specialist

core

Required as a hard skill.

Structural Engineer

optional

Required as a hard skill.

Supply Chain Analyst

core

Required as a hard skill.

Talent Acquisition Specialist

important

Required as a hard skill.

Tax Consultant

optional

Required as a hard skill.

UX Researcher

core

Required as a hard skill.

In the interview

How interviewers test Data Analysis

Real questions from Skilture's interview banks, with what the interviewer is listening for.

  1. Business Analyst · advanced

    You've identified a significant drop in user engagement on a particular feature. How would you approach analyzing this problem?

    Listen for: A strong answer will detail steps like defining the problem, collecting relevant data (e.g., usage logs, survey data), cleaning and transforming data, performing exploratory analysis, and identifying potential root causes. Mentioning specific metrics or visualization techniques would be beneficial. A red flag would be jumping to conclusions without data or a lack of structured analytical thinking.

  2. Compensation & Benefits Analyst · intermediate

    How do you approach analyzing compensation data to identify trends or make recommendations for salary revisions?

    Listen for: The candidate should describe steps like data cleaning, identifying relevant metrics (e.g., compa-ratio, market percentile), segmenting data (by department, level), and interpreting findings to suggest actionable insights. A red flag is simply stating 'I would look at the data' without a structured approach.

  3. Compensation & Benefits Analyst · advanced

    If you were tasked with analyzing the effectiveness of a new benefits program, what metrics would you track, and how would you present your findings?

    Listen for: The candidate should suggest metrics like participation rates, employee satisfaction surveys, cost-benefit analysis, and impact on retention/attraction. They should also discuss presenting findings clearly, perhaps with dashboards or executive summaries, highlighting ROI or employee value. A red flag is not thinking beyond basic participation rates.

What it pays · United States

What roles that use Data Analysis pay in the US

Annual wages in US dollars for the roles above: median, and the 10th–90th percentile range.

RoleMedianRange
Product Manager$166,790$90,260 – $293,610
Operations Manager$105,770$50,090 – $253,390
Business Analyst$101,860$60,640 – $171,640
Quantity Surveyor$78,740$48,530 – $130,820

United States, USD. Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics), 2025; each median links to its occupation. India (INR): no sourced figure for these roles yet, so none is shown.

Learn next

Skills that pair with Data Analysis

Employers hiring for Data Analysis most often ask for these alongside it.

FAQ

Data Analysis: common questions

Is Data Analysis worth learning in 2026?
Data Analysis is listed in 42 of the 103 job-role profiles Skilture maps, and it is a core requirement in 10 of them. Explore the roles above to see where it matters most, then run a free skill gap analysis to see if you already have it.
Which jobs require Data Analysis?
Roles that ask for Data Analysis include Auditor, Automobile Engineer, Bioinformatics Scientist, Brand Manager, Business Analyst, Business Development Executive, Chartered Accountant, Chemical Engineer, Clinical Data Manager, Compensation & Benefits Analyst, Compliance Officer, Curriculum Developer, Customer Support Executive, HR Business Partner, HR Generalist, Instrumentation Engineer, IT Business Analyst, Learning & Development Specialist, Legal Associate, Management Consultant, Manufacturing Engineer, Marketing Analyst, Medical Coder, Medical Lab Technologist, Operations Manager, Paralegal, Payroll Specialist, Performance Marketing Manager, Pharmacist, Physiotherapist, Procurement Specialist, Product Manager, Quantity Surveyor, Regulatory Affairs Associate, Sales Executive, School Teacher, SEO Specialist, Structural Engineer, Supply Chain Analyst, Talent Acquisition Specialist, Tax Consultant, UX Researcher. You can check how your own skills match any of these roles with Skilture's free skill gap analysis — no signup required.
How do interviewers test Data Analysis?
A typical question, from Business Analyst interviews: "You've identified a significant drop in user engagement on a particular feature. How would you approach analyzing this problem?" What the interviewer listens for: A strong answer will detail steps like defining the problem, collecting relevant data (e.g., usage logs, survey data), cleaning and transforming data, performing exploratory analysis, and identifying potential root causes. Mentioning specific metrics or visualization techniques would be beneficial. A red flag would be jumping to conclusions without data or a lack of structured analytical thinking.

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