Data Analyst (Excel) - Remote

Job Title: Data Analyst (Excel)

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:

\n
• Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
\n
• Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
\n
• Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
\n
• Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
\n
• Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
\n
• Document methodologies, results, and recommendations with meticulous attention to detail.
\n
• Contribute expertise to enhance data-driven decision-making processes within the customer's team.
\n

Required Skills and Qualifications:

\n
• Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
\n
• Exceptional attention to detail and accuracy in data processing and reporting.
\n
• Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
\n
• Demonstrated ability to work collaboratively across teams to drive business outcomes.
\n
• Solid understanding of Excel functions, formulas, and data visualization tools.
\n
• Proficiency in identifying data inconsistencies and implementing corrective measures.
\n
• Experience working in fast-paced, data-driven organizations.
\n

Preferred Qualifications:

\n
• Experience supporting cross-functional teams with data insights to inform business strategy.
\n
• Background in presenting analytical outcomes to diverse audiences.
\n
• Familiarity with additional data analysis tools or business intelligence platforms.
\n