Back
Remote mid-level Data Analyst role with generalist skills attracts many applicants.
Core SQL, BI, and analytics skills are highly transferable across industries.
Explicit 5+ years requirement plus mandatory SQL, Redshift, and BI tooling creates strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Deliver data analytics solutions by responding promptly to data requests and extracting actionable insights across business functions.
Build and maintain interactive BI dashboards and SQL-based data workflows ensuring data accuracy and pipeline health.
Leverage AI-assisted tools to enhance query writing, automate reporting, and validate analytics outputs for strategic decision-making, including engagement at CEO level.
5+ years of professional experience in data analytics roles.
Strong proficiency in SQL including joins, CTEs, and window functions; experience with Amazon Redshift or similar data warehouses.
Hands-on experience with BI/dashboarding tools such as Tableau, Metabase, or Power BI; advanced Excel/Google Sheets skills.
Demonstrated ability to use AI tools in analytics workflows (including prompt-writing) and basic understanding of ETL/data pipeline concepts.
Experienced data analyst comfortable working in a startup environment supporting cross-functional teams including product, sales, and tech.
Proficient in combining traditional data skills with AI-augmented analytics and automation to improve team productivity and decision support.
Able to communicate complex data insights clearly to non-technical stakeholders and senior executives, influencing strategic initiatives.