Analytics Engineer resume skills and keywords
In 218 Analytics Engineer job postings from 188 employers analysed on October 23, 2026, the most requested skills are SQL (94 %), Dbt (79 %), Python (64 %), Communication (58 %) and Data Engineering (56 %). Of the top 40 skills, 33 are hard skills, tools or certifications and 7 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 Analytics Engineer job postings
| Skill | Share of postings | Type |
|---|---|---|
| SQL | 94 % | Tool |
| Dbt | 79 % | Hard skill |
| Python | 64 % | Tool |
| Communication | 58 % | Soft skill |
| Data Engineering | 56 % | Hard skill |
| Snowflake | 51 % | Tool |
| Data modeling | 47 % | Hard skill |
| Looker | 38 % | Tool |
| Data pipelines | 36 % | Hard skill |
| Semantic layer | 36 % | Hard skill |
| BigQuery | 35 % | Tool |
| Airflow | 34 % | Tool |
| Git | 32 % | Tool |
| Data Analytics | 32 % | Hard skill |
| ETL | 31 % | Hard skill |
| Collaboration | 29 % | Soft skill |
| Decision making | 28 % | Soft skill |
| Leadership | 27 % | Soft skill |
| Tableau | 26 % | Tool |
| CI/CD | 24 % | Tool |
| AI Tools | 24 % | Tool |
| Version Control | 24 % | Hard skill |
| Code review | 23 % | Hard skill |
| Semantic | 22 % | Hard skill |
| Data Science | 21 % | Hard skill |
| Business Intelligence | 21 % | Hard skill |
| LLMs | 21 % | Tool |
| Redshift | 21 % | Tool |
| Databricks | 20 % | Tool |
| Mentoring | 20 % | Soft skill |
| AWS | 19 % | Tool |
| Power BI | 18 % | Tool |
| Lineage | 17 % | Hard skill |
| Data Governance | 16 % | Hard skill |
| Dimensional modeling | 15 % | Hard skill |
| GCP | 14 % | Tool |
| Apache Spark | 14 % | Tool |
| APIs | 14 % | Hard skill |
| Problem Solving | 13 % | Soft skill |
| Attention to detail | 13 % | Soft skill |
Hard skills vs soft skills vs tools and certifications
Hard skills (16)
- Dbt 79 %
- Data Engineering 56 %
- Data modeling 47 %
- Data pipelines 36 %
- Semantic layer 36 %
- Data Analytics 32 %
- ETL 31 %
- Version Control 24 %
- Code review 23 %
- Semantic 22 %
- Data Science 21 %
- Business Intelligence 21 %
- Lineage 17 %
- Data Governance 16 %
- Dimensional modeling 15 %
- APIs 14 %
Soft skills (7)
- Communication 58 %
- Collaboration 29 %
- Decision making 28 %
- Leadership 27 %
- Mentoring 20 %
- Problem Solving 13 %
- Attention to detail 13 %
Tools and software (17)
Keyword phrases recruiters use
Multi-word phrases that recur across these analytics engineer 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 Analytics Engineer resume example. Then prepare for the Analytics Engineer interview questions that test them.
Build a analytics engineer resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.