Data · Resume guide
Analytics engineering is dbt-defined: postings screen for dbt, warehouse SQL, and software-engineering practices applied to data (version control, testing, CI) — the role's whole premise is the keyword set between analyst and data engineer.
These terms appear repeatedly in real analytics engineer job descriptions. Use the exact forms below where your experience honestly supports them — exact matches rank; paraphrases often don't.
Share of 86 live data engineer postings in our 15 August 2026 snapshot (Analytics Engineer titles are counted with Data Engineer in this sample) . Front-load the ones your target job description actually names.
| Skill | Share of postings |
|---|---|
| SQL | 69% |
| Python | 54% |
| dbt | 47% |
| Snowflake | 33% |
| ETL | 30% |
| Machine Learning | 29% |
| Data Modeling | 29% |
| Airflow | 28% |
| Looker | 23% |
| Databricks | 23% |
| Spark | 23% |
| CI/CD | 21% |
Public ATS boards (Arbeitnow, Greenhouse, Ashby, Google Careers, Lever, RemoteOK, Remotive). Not LinkedIn or Indeed. Snapshot, not a forecast — always mirror the posting in front of you.
Strong analytics engineer bullets pair the role's vocabulary with a measured outcome. Use these as patterns — with your real numbers, never invented ones.
“Rebuilt the transformation layer as 300+ tested dbt models on Snowflake, cutting metric discrepancies raised by stakeholders 80%”
“Introduced CI checks and PR review for analytics code, taking broken-dashboard incidents from weekly to less than one per quarter”
Paste the analytics engineer job description you're targeting and extract its required skills and repeated phrases.
Rephrase your real experience with the posting's exact terminology — same work, their words.
Reorder your summary, skills, and top bullets so this role's priorities lead.
Verify: check your match score and remaining keyword gaps before submitting.
dbt is the defining keyword — surface it in your title line if you have it ('Analytics Engineer — dbt/Snowflake'). Emphasize engineering practices applied to analytics (testing, code review, CI) since that's exactly what separates this role from data analyst postings.
The highest-weight terms for analytics engineer postings currently include: SQL, Python, dbt, Snowflake, ETL, Machine Learning. The definitive list is always the specific job description — paste it into a free keyword check to see exactly which terms your resume shows and which it's missing.
Extract the job description's required skills and repeated phrases, then rephrase your real experience using those exact terms — lead your summary and top bullets with what that posting emphasizes. Never add skills you don't have; keep genuine gaps visible and address them honestly.
Upload your resume, paste the job description, and get your free ATS match score with every missing keyword — then a tailored, ATS-safe rewrite without fabrication.