Data Analyst
micro1 / Data Analyst
RATE
$40 - $60/HR
LOCATION
REMOTE (GLOBAL)
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
REQUIREMENTS
- ▸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.
- ▸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.
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