Data Analyst

Requirements

• 3+ years hands-on experience as data analyst or analytics engineerMust
• Advanced SQL skillsMust
• Snowflake expertise including warehouses, access control, and query historyMust
• Audit and reconcile reported metrics against raw dataMust
• Catch subtle aggregation or logic errorsMust
• Meticulous attention to detailMust
• Strong written communication skillsMust
• Strong verbal communication skillsMust
• Business and finance analytics knowledge including KPI definitions and reporting
• Database access administration including roles, grants, and authentication management
• OAuth or security integration familiarity
• Experience with SaaS tools such as Slack, Google Workspace, or Microsoft 365
• Prior experience using AI assistants for analytics
• Background in rubric-based evaluation, QA, or data labeling

What you'll do

• Write and run SQL queries to verify AI-generated figures against source data
• Assess correctness of data joins, filters, and time windows
• Maintain, reset, and manage seeded datasets in Snowflake
• Oversee warehouse roles, permissions, and access controls
• Execute structured evaluation tasks simulating analytical workflows
• Configure and document connectivity and authentication processes across analytics and SaaS platforms
• Investigate and document novel or undocumented product behavior
• Participate in calibration sessions with peers to ensure consistency in grading

About the role

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. • 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. Originally posted on Himalayas