Data Analyst (Excel) - Remote

Job overview

This contractor role is remote and centers on analytical work that supports the training of advanced AI systems. The position does not require previous AI experience; what matters most is strong subject-matter knowledge and the ability to apply it in practical, high-quality data work.

Responsibilities

• Use Microsoft Excel to perform detailed data analysis and surface useful insights that can guide team decisions.
• Work with stakeholders to clarify what data is needed and convert those needs into clear analytical outputs.
• Inspect, clean, and verify datasets so the information remains accurate, consistent, and reliable.
• Create straightforward reports and visual summaries that can be understood by both technical and non-technical audiences.
• Spot patterns, irregularities, and improvement opportunities in complex data to support strategic work.
• Keep careful documentation of analysis methods, findings, and recommendations.
• Use your expertise to strengthen data-led decision-making within the client team.

Requirements

• Hands-on business experience with data analysis, using Microsoft Excel as the main working tool.
• Strong precision and attention to detail when handling data, calculations, and reporting.
• Good written and spoken communication skills, with the ability to explain analytical conclusions clearly.
• Ability to partner effectively with different teams to achieve business goals.
• Good command of Excel formulas, functions, and charting or visualization features.
• Capability to detect data quality issues and take corrective action.
• Comfort working in fast-moving, data-focused environments.
• Experience working with cross-functional teams to inform business strategy is preferred.
• Ability to present analytical results to varied audiences is preferred.
• Familiarity with other analytics tools or business intelligence software is a plus.

Additional information

This role is focused on contractor-based remote work in the United States. The brief also notes that domain knowledge is the key requirement, rather than prior AI experience.