Business Intelligence Analyst resume skills and keywords
In 64 Business Intelligence Analyst job postings from 58 employers analysed on October 23, 2026, the most requested skills are SQL (89 %), Business Intelligence (81 %), Power BI (66 %), Python (61 %) and Communication (59 %). 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 Business Intelligence Analyst job postings
| Skill | Share of postings | Type |
|---|---|---|
| SQL | 89 % | Tool |
| Business Intelligence | 81 % | Hard skill |
| Power BI | 66 % | Tool |
| Python | 61 % | Tool |
| Communication | 59 % | Soft skill |
| Tableau | 58 % | Tool |
| Data Analytics | 42 % | Hard skill |
| Leadership | 34 % | Soft skill |
| Decision making | 33 % | Soft skill |
| Collaboration | 33 % | Soft skill |
| Data modeling | 31 % | Hard skill |
| Data Analysis | 30 % | Hard skill |
| Data visualization | 28 % | Hard skill |
| ETL | 28 % | Hard skill |
| Data Engineering | 28 % | Hard skill |
| Attention to detail | 28 % | Soft skill |
| Looker | 27 % | Tool |
| Problem Solving | 27 % | Soft skill |
| Data Science | 25 % | Hard skill |
| Microsoft Excel | 23 % | Tool |
| Snowflake | 23 % | Tool |
| Data pipelines | 22 % | Hard skill |
| BigQuery | 19 % | Tool |
| Git | 19 % | Tool |
| Azure | 19 % | Tool |
| APIs | 17 % | Hard skill |
| ERP | 16 % | Tool |
| Dbt | 16 % | Hard skill |
| Databricks | 14 % | Tool |
| GCP | 12 % | Tool |
| Data-Driven Decision Making | 12 % | Soft skill |
| Semantic | 12 % | Hard skill |
| Mentoring | 12 % | Soft skill |
| Jira | 11 % | Tool |
| Analytical skills | 11 % | Soft skill |
| AWS | 11 % | Tool |
| Data Governance | 11 % | Hard skill |
| Analytics Tools | 9 % | Tool |
| Business Acumen | 9 % | Hard skill |
| R (programming) | 9 % | Tool |
Hard skills vs soft skills vs tools and certifications
Hard skills (14)
- Business Intelligence 81 %
- Data Analytics 42 %
- Data modeling 31 %
- Data Analysis 30 %
- Data visualization 28 %
- ETL 28 %
- Data Engineering 28 %
- Data Science 25 %
- Data pipelines 22 %
- APIs 17 %
- Dbt 16 %
- Semantic 12 %
- Data Governance 11 %
- Business Acumen 9 %
Soft skills (9)
- Communication 59 %
- Leadership 34 %
- Decision making 33 %
- Collaboration 33 %
- Attention to detail 28 %
- Problem Solving 27 %
- Data-Driven Decision Making 12 %
- Mentoring 12 %
- Analytical skills 11 %
Tools and software (17)
- SQL 89 %
- Power BI 66 %
- Python 61 %
- Tableau 58 %
- Looker 27 %
- Microsoft Excel 23 %
- Snowflake 23 %
- BigQuery 19 %
- Git 19 %
- Azure 19 %
- ERP 16 %
- Databricks 14 %
- GCP 12 %
- Jira 11 %
- AWS 11 %
- Analytics Tools 9 %
- R (programming) 9 %
Keyword phrases recruiters use
Multi-word phrases that recur across these business intelligence 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 Business Intelligence Analyst resume example. Then prepare for the Business Intelligence Analyst interview questions that test them.
Build a business intelligence analyst resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.