Data Analyst skills · 25 job postings analysed
Data Analyst skills required in 2026
We analysed 25 data analyst job postings from 15 companies (India, August 2026 – September 2026). The most requested skill is SQL, mentioned by 73% of hiring companies, followed by Python, Data visualization and Excel. Postings that state experience ask for a median of 5 years.
- 1. SQL73% of companies
- 2. Python60% of companies
- 3. Data visualization47% of companies
- 4. Excel40% of companies
- 5. Power BI40% of companies
Check your resume against a data analyst job description
Paste at least 150 characters so we can find the requirements.
2. Upload your resume
Paste the job description first, then upload your PDF.
From real job postings
Full data analyst skills breakdown
Share of hiring companies asking for each skill
- SQL73%
- Python60%
- Data visualization47%
- Excel40%
- Power BI40%
- Tableau33%
- Machine learning20%
- R20%
- Looker20%
- Data cleaning13%
- ETL13%
- Data governance13%
Soft skills mentioned
- Attention to detail20%
- Analytical thinking13%
- Communication13%
- Stakeholder management13%
Education mentioned
- Bachelor's degree100%
- B.Tech / B.E.30%
- Master's / MBA10%
Of postings that state an education requirement.
Median experience asked
5 yrs
6% open to 0–1 years
Work mode
84% office
Office 84% · Hybrid 0% · Remote 8%
Postings analysed
25
15 companies · India
Top Indian cities
Bengaluru
Hyderabad · Mumbai · Pune
Companies in this sample include Smiths Group, Informa Group Plc., The Nielsen Company, Cohere Health, Flywire, job-boards.greenhouse.io, StockX, Grab.
Method: postings collected by the Resumaxx job catalog (August 2026 – September 2026). Skill shares count each company once, so one employer posting many similar jobs doesn't skew the list. Figures describe this sample, not the whole market.
Before you apply
How to tailor your data analyst resume
Usually required
Most companies that mention these list them as requirements. If you have them, make them easy to find.
- SQL
- Python
- Data visualization
- Excel
- Power BI
Common differentiators
Frequently mentioned, often as a preference rather than a must.
- Tableau
- Machine learning
- R
- Looker
Industries hiring in this sample: Finance, Media, HRIS, Financial Services.
What makes a data resume match
- Lead with the tools the posting names (SQL, Python, BI tool, cloud) and show each one in a real project.
- Tie every model or dashboard to a decision or metric it changed, not just its accuracy.
- Separate production work from coursework or Kaggle so seniority is clear.
How the match works
- 1. We read the job description and list its requirements, marking each as required or preferred.
- 2. We look for each requirement in your resume and quote the line that proves it.
- 3. A match only counts if the quote is really in your resume. Required skills count double.
Frequently asked questions
What skills do data analyst job descriptions ask for?
In the 25 postings we analysed, the most common were SQL (73% of companies), Python (60% of companies), Data visualization (47% of companies), Excel (40% of companies), Power BI (40% of companies). Match these against the specific job description you are applying to, because each employer weights them differently.
How much experience do data analyst jobs require?
Postings that state a minimum ask for a median of 5 years. 6% accept a year or less, and 53% ask for five years or more (based on 17 postings that stated a number).
Are data analyst jobs remote or in office?
Of postings that specified it, 84% were office-based, 0% hybrid, and 8% remote.
How does the job description match score work?
We pull the requirements out of the job description you paste, mark each one as required or preferred, and look for evidence of it in your resume. Only quotes that actually appear in your resume count as a match. The score is weighted so required skills count twice as much as preferred ones.
Should I add every missing keyword to my resume?
No. Add a skill only if you have genuinely used it, and show it inside a bullet about real work rather than only in a skills list. Recruiters and screening tools both treat unsupported keywords as padding.