Data Analyst resume skills and keywords
In 580 Data Analyst job postings from 400 employers analysed on October 23, 2026, the most requested skills are SQL (89 %), Python (69 %), Communication (62 %), Tableau (45 %) and Leadership (35 %). Of the top 40 skills, 31 are hard skills, tools or certifications and 9 are soft skills.
Download the full list as a CSV or check your own resume against a posting with the free keyword scanner.
Top 40 skills in Data Analyst job postings
| Skill | Share of postings | Type |
|---|---|---|
| SQL | 89 % | Tool |
| Python | 69 % | Tool |
| Communication | 62 % | Soft skill |
| Tableau | 45 % | Tool |
| Leadership | 35 % | Soft skill |
| Data Analysis | 34 % | Hard skill |
| Data Analytics | 34 % | Hard skill |
| Problem Solving | 32 % | Soft skill |
| Power BI | 32 % | Tool |
| Looker | 29 % | Tool |
| Decision making | 28 % | Soft skill |
| Dbt | 26 % | Hard skill |
| Attention to detail | 25 % | Soft skill |
| Collaboration | 25 % | Soft skill |
| Data visualization | 24 % | Hard skill |
| Data Science | 24 % | Hard skill |
| R (programming) | 23 % | Tool |
| Experimentation | 20 % | Hard skill |
| Business Intelligence | 19 % | Hard skill |
| Microsoft Excel | 19 % | Tool |
| Snowflake | 18 % | Tool |
| AI Tools | 18 % | Tool |
| Data Engineering | 17 % | Hard skill |
| Mentoring | 16 % | Soft skill |
| BigQuery | 16 % | Tool |
| Data pipelines | 14 % | Hard skill |
| Machine learning | 14 % | Hard skill |
| Data modeling | 13 % | Hard skill |
| A/B testing | 13 % | Hard skill |
| Flexibility | 12 % | Soft skill |
| Statistical analysis | 12 % | Hard skill |
| Git | 12 % | Tool |
| ETL | 12 % | Hard skill |
| Databricks | 11 % | Tool |
| APIs | 11 % | Hard skill |
| Apache Spark | 9 % | Tool |
| Amplitude | 9 % | Tool |
| LLMs | 9 % | Tool |
| Storytelling | 9 % | Soft skill |
| Airflow | 8 % | Tool |
Hard skills vs soft skills vs tools and certifications
Hard skills (15)
- Data Analysis 34 %
- Data Analytics 34 %
- Dbt 26 %
- Data visualization 24 %
- Data Science 24 %
- Experimentation 20 %
- Business Intelligence 19 %
- Data Engineering 17 %
- Data pipelines 14 %
- Machine learning 14 %
- Data modeling 13 %
- A/B testing 13 %
- Statistical analysis 12 %
- ETL 12 %
- APIs 11 %
Soft skills (9)
- Communication 62 %
- Leadership 35 %
- Problem Solving 32 %
- Decision making 28 %
- Attention to detail 25 %
- Collaboration 25 %
- Mentoring 16 %
- Flexibility 12 %
- Storytelling 9 %
Tools and software (16)
- SQL 89 %
- Python 69 %
- Tableau 45 %
- Power BI 32 %
- Looker 29 %
- R (programming) 23 %
- Microsoft Excel 19 %
- Snowflake 18 %
- AI Tools 18 %
- BigQuery 16 %
- Git 12 %
- Databricks 11 %
- Apache Spark 9 %
- Amplitude 9 %
- LLMs 9 %
- Airflow 8 %
Keyword phrases recruiters use
Multi-word phrases that recur across these data analyst postings, with the share of postings that use each one.
How to use this on your resume
Treat the table as a checklist, not a script. Put the skills you genuinely have in your skills section, using the same wording as the posting, and back the top ones with a bullet that shows the result.
Each job posting differs from the average, so compare your resume with the actual ad: paste it into the resume keyword scanner to see which terms you already have and which are missing. The ATS keywords guide explains where to place them so applicant tracking systems read them.
Skip any skill you cannot talk about in an interview; a keyword that falls apart under one question costs more than it gains. For a full layout with these skills in context, see the Data Analyst resume example. Then prepare for the Data Analyst interview questions that test them.
Build a data analyst resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.