Boolean search string for Data Analyst
Copy-paste strings to source Data Analyst candidates, plus the title synonyms, skills and exclusions they are built from. Adapt the terms to your market before running them.
LinkedIn search
("data analyst" OR "business intelligence analyst" OR "bi analyst" OR "analytics engineer" OR "reporting analyst") AND sql AND excel AND "data visualization" AND (tableau OR "power bi" OR looker OR bigquery OR snowflake OR dbt OR python OR "google analytics" OR "data modeling" OR airflow OR etl OR "a/b testing" OR statistics OR "data warehouse") NOT (recruiter OR staffing OR intern OR student)Paste into the LinkedIn people-search box. LinkedIn supports AND, OR, NOT and quoted phrases.
Google X-ray
site:linkedin.com/in ("data analyst" OR "business intelligence analyst" OR "bi analyst" OR "analytics engineer" OR "reporting analyst") sql excel "data visualization" (tableau OR "power bi" OR looker OR bigquery OR snowflake OR dbt OR python OR "google analytics" OR "data modeling" OR airflow OR etl OR "a/b testing" OR statistics OR "data warehouse") -recruiter -staffing -intern -studentPaste into Google. It searches public LinkedIn profiles without LinkedIn Recruiter — add a location in quotes to narrow it.
Terms behind the Data Analyst string
| Job titles | data analyst · business intelligence analyst · bi analyst · analytics engineer · reporting analyst |
|---|---|
| Core skills | sql · excel · data visualization · tableau · power bi · looker · bigquery · snowflake · dbt · python · google analytics · data modeling |
| Nice to have | airflow · etl · a/b testing · statistics · data warehouse |
| Excluded | recruiter · staffing · intern · student |
Sourcing notes
- Start broad, then narrow. If a string returns under ~20 profiles, drop the nice-to-have group before you drop titles.
- Exclusions cut noise but also cut real candidates — check a few excluded profiles before trusting a NOT clause.
- Titles vary by company size: what reads as senior at a startup can be mid-level at an enterprise. Read the profile, not the label.
Build a custom Boolean string → · Interview scorecard for a Data Analyst →
Frequently asked questions
What should I test in a data analyst interview?
A live or take-home SQL problem with a deliberate trap in it — a fan-out join, a null-heavy column — and a business question that is underspecified on purpose. The first tests correctness; the second tests whether they clarify before building.
Does a data analyst need to know Python?
It depends on the stack. SQL is non-negotiable. Python or R matters when the role includes automation, statistical work, or cleaning beyond what the warehouse handles. If the job is reporting on already-modeled tables, weight SQL, metric definition and communication far higher.
How do I compare analyst candidates who come from different industries?
Score the transferable behaviors — question framing, verification habits, metric discipline — rather than domain familiarity, and keep the same weights for everyone. Verdict scores CVs the same way, citing the exact snippet behind each dimension so a shortlist can be defended later.
When the stakes are a real hire, use evidence
These tools are quick heuristics. Verdict reads the CV against your job description and scores six dimensions with verbatim quotes as evidence — a hiring document you can defend.