数据分析师
Data Analyst
职位名称：数据分析师
职位类型：合同工
工作地点：远程
micro1 正在招募数据分析师，为一个保密客户项目提供专业技能，该项目专注于评估人工智能助手在真实分析工作流程中的表现，利用云数据仓库。在此职位中，你将运用专业知识帮助训练下一代人工智能系统。你的工作将影响模型的学习、推理和执行方式，通过高质量的真实输入数据。无需人工智能相关经验——你的领域知识才是关键。
工作范围
- 使用具有云数据仓库连接功能的 AI 解决方案，执行结构化评估任务，模拟典型的分析工作流程（例如异常调查、KPI 报告、数据刷新）。
- 独立验证 AI 生成的数据，通过编写并运行自己的 SQL 查询，检查数据连接、过滤条件和时间窗口的正确性。
- 在 Snowflake 中维护、重置和管理种子数据集，确保测试场景中的数据完整性和正确答案状态。
- 监督数据仓库的角色、权限和访问控制，以实现安全且可重复的评估环境。
- 配置并记录多个分析和 SaaS 平台之间的连接和认证流程。
- 调查并在工作流程执行过程中记录新颖或未记录的产品行为。
- 参与与同事的校准会议，确保在评分或打分时保持一致性和严谨性。
优先资格
- 至少 3 年作为数据分析师或分析工程师的实际工作经验，具备高级 SQL 技能，并精通 Snowflake（数据仓库、访问控制、查询历史）。
- 具备审计和核对报告指标与原始数据的能力，能够发现细微的聚合或逻辑错误。
- 熟悉业务和财务分析，包括与管理层或外部利益相关者相关的 KPI 定义和报告实践。
- 具有管理数据库访问、角色、授权和集成认证/安全协议的经验；熟悉 OAuth 或安全集成者优先。
- 熟悉常见的 SaaS 工具，如 Slack、Google Workspace 或 Microsoft 365，用于分享分析结果。
- 有使用 AI 助手进行分析的经验，对 AI 生成的 SQL 和输出准确性有批判性视角。
- 具备基于评分标准的评估背景
查看英文原文
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