Data Analyst

RemoteJobsOne; Kentucky; Remote; USD 69,000 - 83,000; Full time

Job summary

RemoteJobsOne is seeking a Data Analyst contractor to evaluate AI-assisted analytics within cloud data warehouses. You will verify AI outputs with SQL, manage Snowflake datasets and access controls, and document integration workflows.

Strong communication and KPI-focused reporting are essential. Candidates should have 3+ years in data analytics, advanced SQL, Snowflake experience, and familiarity with AI-assisted analytics tools.

Qualifications

• 3+ years as data analyst or analytics engineer.
• Advanced SQL skills and Snowflake expertise.
• Auditing and reconciling metrics against raw data.
• Experience using AI assistants for analytics is a plus.
• Familiarity with KPI definitions and leadership reporting.

Responsibilities

• Execute structured evaluation tasks using AI-powered solutions with cloud data warehouse connectivity.
• Write and run SQL queries to verify AI-generated figures against source data.
• Maintain seeded datasets in Snowflake and ensure data integrity.
• Manage warehouse roles, permissions, and access controls.
• Document connectivity and authentication across analytics and SaaS platforms.
• Investigate novel or undocumented product behavior during workflow.
• Participate in calibration sessions to ensure scoring consistency.

Skills

SQL

Snowflake

Data validation

KPIs / analytics

AI-assisted analytics

Communication

Data labeling / QA

Analytical thinking

Tools

Claude/ChatGPT connectors

Slack

Google Workspace

Microsoft 365

OAuth / security protocols

Job description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application - it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in 58 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $50-$60/hr

Role Title: Data Analyst

Role Type: Contractor

Location: Remote

We are 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

1. 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.
2. 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.
3. Maintain, reset, and manage seeded datasets within Snowflake, ensuring data integrity and correct answer states for test scenarios.
4. Oversee warehouse roles, permissions, and access controls to facilitate secure and repeatable evaluation environments.
5. Configure and document connectivity and authentication processes across multiple analytics and SaaS platforms.
6. Investigate and document novel or undocumented product behavior encountered during workflow execution.
7. Participate in calibration sessions with peers to ensure consistency and rigor when grading or scoring outputs.

Preferred Qualifications

1. 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).
2. Demonstrated proficiency in auditing and reconciling reported metrics against raw data, with a keen eye for catching subtle aggregation or logic errors.
3. Versed in using connectors across Claude and ChatGPT.
4. Familiarity with business and finance analytics, including KPI definitions and reporting practices relevant to leadership or external stakeholders.
5. Experience in administering database access, managing roles, grants, and integrating authentication/security protocols; OAuth or security-integration familiarity is advantageous.
6. Working knowledge of common SaaS tools such as Slack, Google Workspace, or Microsoft 365 for sharing analytical outcomes.
7. Prior experience using AI assistants for analytics, with a critical perspective on the accuracy of AI-generated SQL and outputs.
8. Background in rubric-based evaluation, QA, or data labeling, with a meticulous approach and strong written and verbal communication skills.