SQL & Analytics Engineer Expert
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Job summary
Are you an experienced analytics engineer with strong SQL skills and hands-on experience with modern data warehouses? Put your expertise to work helping frontier AI labs evaluate and improve advanced AI models.
Min Qualification:
MBA / MSc
Experience Level:
Mid level
Experience Length:
3 years
Language Requirement:
English
Work Type:
Contract & Temporary
Working Hours:
8 to 5
Applicant Location:
International talent welcome
Job descriptions & requirements
Responsibilities:
- Create realistic analytics scenarios, from raw tables to tested data models.
- Write reference SQL solutions and explain the reasoning behind them.
- Evaluate AI-generated queries for correctness and warehouse efficiency.
- Identify queries that appear correct but produce inaccurate or expensive results.
Requirements:
- At least 2 years of experience in analytics engineering or SQL-heavy analytics.
- Strong SQL skills, including joins, CTEs, window functions, and query optimization.
- Hands-on experience with BigQuery, Snowflake, or Amazon Redshift.
- Strong analytical, problem-solving, and technical writing skills.
Work Arrangement:
- Remote contractor opportunity.
- Contribute to AI evaluation projects using your data expertise.
- Remuneration: NGN 450,000 monthly, subject to the engagement terms and availability of work.
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