Data Analyst
YO AI Labs
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Role overview
YO AI Labs is hiring for the Data Analyst role in San Francisco, San Francisco, US. It is a position with remote work available, Mid-level level, in the Finance sector. It was posted yesterday.
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- Role
- Data Analyst
- Company
- YO AI Labs
- Location
- San Francisco, San Francisco, US
- Work mode
- Remote
- Seniority
- Mid-level
- Sector
- Finance
- Posted
- yesterday
Description
Job Type: Contractor
Location: Remote
Job Summary: 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.
Key Responsibilities:
- Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
- Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
- Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
- Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
- Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
- Document methodologies, results, and recommendations with meticulous attention to detail.
- Contribute expertise to enhance data-driven decision-making processes within the customer's team.
- Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
- Exceptional attention to detail and accuracy in data processing and reporting.
- Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
- Demonstrated ability to work collaboratively across teams to drive business outcomes.
- Solid understanding of Excel functions, formulas, and data visualization tools.
- Proficiency in identifying data inconsistencies and implementing corrective measures.
- Experience working in fast-paced, data-driven organizations.
- Experience supporting cross-functional teams with data insights to inform business strategy.
- Background in presenting analytical outcomes to diverse audiences.
- Familiarity with additional data analysis tools or business intelligence platforms.
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