Get your free practice interview for this role
micro1 screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one for this role: Data Analyst. It covers:
Here’s your practice interview
Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.
Step 2: when you feel ready, apply.
The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our free micro1 interview guide.
Apply for this role
You apply on micro1's own site. It’s free, and you can apply even if you skip the practice.
Who this role suits
Working engineers who want flexible, project-based remote work that uses their coding and review skills. A strong portfolio or GitHub helps.
Full job description
Role Title: Data Analyst
Role Type: Contractor
Location: Remote
micro1 is engaging Data Analysts to contribute expertise to a confidential client project focused on evaluating AI assistants in real-world analytical workflows leveraging cloud data warehouses. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Execute structured evaluation tasks simulating typical analytical workflows (e.g., anomaly investigation, KPI reporting, data refreshes) using AI-powered solutions with cloud data warehouse connectivity.
- Independently verify AI-generated figures against source data by writing and running your own SQL queries, and assess the correctness of data joins, filters, and time windows.
- Maintain, reset, and manage seeded datasets within Snowflake, ensuring data integrity and correct answer states for test scenarios.
- Oversee warehouse roles, permissions, and access controls to facilitate secure and repeatable evaluation environments.
- Configure and document connectivity and authentication processes across multiple analytics and SaaS platforms.
- Investigate and document novel or undocumented product behavior encountered during workflow execution.
- Participate in calibration sessions with peers to ensure consistency and rigor when grading or scoring outputs.
Preferred Qualifications
- At least 3 years of hands-on experience as a data analyst or analytics engineer, with advanced SQL skills and expertise in Snowflake (warehouses, access control, query history).
- Demonstrated proficiency in auditing and reconciling reported metrics against raw data, with a keen eye for catching subtle aggregation or logic errors.
- Versed in using connectors across Claude and ChatGPT.
- Familiarity with business and finance analytics, including KPI definitions and reporting practices relevant to leadership or external stakeholders.
- Experience in administering database access, managing roles, grants, and integrating authentication/security protocols; OAuth or security-integration familiarity is advantageous.
- Working knowledge of common SaaS tools such as Slack, Google Workspace, or Microsoft 365 for sharing analytical outcomes.
- Prior experience using AI assistants for analytics, with a critical perspective on the accuracy of AI-generated SQL and outputs.
- Background in rubric-based evaluation, QA, or data labeling, with a meticulous approach and strong written and verbal communication skills.
Last checked open on Oct 28, 2026. Job description provided by micro1.
Something not working? Tell us
If the practice interview or the apply link doesn’t open, or the job looks closed, let us know and we’ll fix it.
Thanks, we got it. We’ll check this job’s links and reply by email if you left one.