SQL is the single most in-demand skill in data analytics — it appears in over 60% of all data analyst job postings. If SQL is your strongest skill, these roles are specifically looking for analysts who spend most of their time querying databases, writing complex joins, and building data pipelines.
583 jobs found
Business Analyst
Teya — London, United Kingdom
Data Quality IMR Analyst
AIG — Sydney, New South Wales, Australia
BI Analyst - Semantic Layer
Cars Commerce — Chicago, IL
Energy Market Analyst
Criterion Research, LLC — Houston, TX ·
Senior Analyst, Data & Analytics
Molina Healthcare — Remote
Senior Analyst, Decision Analytics
The Home Depot — Atlanta, Georgia
MDM Data Quality Analyst
Sistema Technologies, Inc. — Austin, Texas Metropolitan Area
Data Analyst, Economic Consulting (US)
Cornerstone Research — Remote, United States
Business Analyst Intern - Summer 2027
Capital One — Mclean, Virginia, United States
FinOps Cloud Financial Analyst
World Wide Technology — Remote, United States
What You Need to Know
SQL proficiency is essentially non-negotiable for data analysts. Employers expect you to write efficient queries, work with large datasets, and understand database concepts like indexing, normalization, and window functions. The most commonly requested SQL dialects are PostgreSQL, MySQL, T-SQL (SQL Server), and BigQuery. Analysts with strong SQL skills earn roughly 15–20% more than those without — that translates to an extra $9,000–$12,000 per year at the entry level. Beyond basic SELECT statements, employers value experience with CTEs, subqueries, stored procedures, and performance optimization. Many SQL-heavy roles also involve working with ETL pipelines and data warehouses like Snowflake, Redshift, or BigQuery.