Statistical Analysis
Which roles require it and how much it matters — mapped across real job-role profiles.
Short answer: Statistical Analysis is asked for by 10 of the 103 job-role profiles Skilture maps, and is a core requirement in 3 — most heavily by Bioinformatics Scientist, Data Scientist and Marketing Analyst.
Source: Skilture's 103 job-role profiles · Updated
Free · No signup · Results in 60 seconds
- Roles that list it
- 10 of 103
- Core requirement
- 3 rolesnon-negotiable there
- Skill type
- Technicalhard, teachable
Who hires for Statistical Analysis?
The roles in Skilture's catalogue that list Statistical Analysis, and how heavily each one weights it.
Bioinformatics Scientist
Required as a hard skill.
Clinical Data Manager
Required as a hard skill.
Compensation & Benefits Analyst
Required as a hard skill.
Data Scientist
Required as a hard skill.
Equity Research Analyst
Required as a hard skill.
Marketing Analyst
Required as a hard skill.
Performance Marketing Manager
Required as a hard skill.
SEO Specialist
Required as a hard skill.
Supply Chain Analyst
Required as a hard skill.
UX Researcher
Required as a hard skill.
Targeting one of these roles? Grab the ATS resume keywords:
How interviewers test Statistical Analysis
Real questions from Skilture's interview banks, with what the interviewer is listening for.
Bioinformatics Scientist · intermediate
Explain the concept of p-value correction in multiple hypothesis testing and why it's important in genomics.
Listen for: A strong answer will explain that multiple hypothesis testing increases the chance of false positives and that p-value correction (e.g., Bonferroni, FDR) controls this. They should link its importance to analyzing large genomic datasets, such as differential gene expression, where thousands of tests are performed. A red flag is not understanding the problem of multiple comparisons or the purpose of correction.
Data Scientist · intermediate
What is a p-value, and what does it not tell you?
Listen for: A strong answer defines it as the probability of data at least this extreme under the null, and warns it is not the probability the hypothesis is true nor effect size. Misinterpreting it as 'probability the result is real' is a red flag.
Data Scientist · intermediate
How would you check whether two groups differ in a metric in a statistically sound way?
Listen for: Look for choosing an appropriate test, checking assumptions, considering sample size and effect size, and multiple-comparison caution. Eyeballing means without any test is a red flag.
What roles that use Statistical Analysis pay in the US
Annual wages in US dollars for the roles above: median, and the 10th–90th percentile range.
| Role | Median | Range |
|---|---|---|
| Data Scientist | $120,230 | $67,240 – $199,130 |
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.
Skills that pair with Statistical Analysis
Employers hiring for Statistical Analysis most often ask for these alongside it.
Put Statistical Analysis to work
Does your resume show Statistical Analysis?
Score your resume against a role and see which of its skills you show and which are missing.
Can an ATS read your skills?
A skill a parser cannot extract does not count. See what an Applicant Tracking System reads.
Placements coming up?
An 8-week plan: resume, top skill gaps, ATS checks and applications.
Building your resume? ATS-friendly templates, each one scored · Resume format for freshers
Statistical Analysis: common questions
- Is Statistical Analysis worth learning in 2026?
- Statistical Analysis is listed in 10 of the 103 job-role profiles Skilture maps, and it is a core requirement in 3 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 Statistical Analysis?
- Roles that ask for Statistical Analysis include Bioinformatics Scientist, Clinical Data Manager, Compensation & Benefits Analyst, Data Scientist, Equity Research Analyst, Marketing Analyst, Performance Marketing Manager, SEO Specialist, Supply Chain Analyst, 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 Statistical Analysis?
- A typical question, from Bioinformatics Scientist interviews: "Explain the concept of p-value correction in multiple hypothesis testing and why it's important in genomics." What the interviewer listens for: A strong answer will explain that multiple hypothesis testing increases the chance of false positives and that p-value correction (e.g., Bonferroni, FDR) controls this. They should link its importance to analyzing large genomic datasets, such as differential gene expression, where thousands of tests are performed. A red flag is not understanding the problem of multiple comparisons or the purpose of correction.