SQL on a resume: the most-required skill in data postings.
SQL is the single most-required skill across data analyst, business analyst, data engineer, and analytics engineer postings. ATS parsers match "SQL" as a literal, but the deeper signal is which dialect (Postgres, MySQL, Snowflake, BigQuery, Redshift, T-SQL) and what you've actually queried — production warehouses, transactional databases, data marts.
No. "SQL (Snowflake, Postgres, BigQuery)" is enough. Listing PL/SQL, T-SQL, ANSI SQL, BigQuery SQL separately looks like padding.
Be honest. Recruiters at data shops will ask you to write window functions and CTEs in the interview. "SQL — basic" is fine for entry-level analyst roles.
Increasingly yes for analytics-engineer and senior data-analyst roles. dbt is the modern standard for data transformations and is mentioned by name in 50%+ of analytics-engineer postings.
Quantify the win. "Reduced query time from 4 hours to 35 minutes by rewriting CTEs and adding 3 covering indexes" is credible; "optimized SQL queries" is not.