Remote Data Analyst (Excel) for AI Training

Embedded Shishya; San Francisco (CA); On-site; USD 60,000 - 90,000; Part time

Job summary

Embedded Shishya is seeking a Data Analyst (Excel) on a contract basis to help train next-generation AI systems. The role focuses on turning complex datasets into accurate, actionable insights using Excel as the primary tool.

You will collaborate with stakeholders across teams to clean data, create concise reports, and visualize findings that inform business decisions and improve data quality in fast-paced environments.

Qualifications

• Experience performing data analysis in a business environment using Excel as the primary tool.
• Excellent attention to detail and accuracy in data processing and reporting.
• Strong written and verbal communication skills.
• Ability to work across teams to drive business outcomes.
• Solid understanding of Excel functions, formulas, and data visualization.

Responsibilities

• Conduct in-depth data analysis using Microsoft Excel to extract actionable insights.
• Collaborate with project stakeholders to understand data requirements.
• Review, clean, and validate datasets to ensure accuracy and integrity.
• Develop reports and visualizations to communicate findings to 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.

Skills

Data analysis

Excel proficiency

Attention to detail

Communication skills

Cross-functional collaboration

Data visualization

Data quality

Job description

Embedded Shishya is seeking a Data Analyst (Excel) on a contract basis to help train next-generation AI systems. The role focuses on turning complex datasets into accurate, actionable insights using Excel as the primary tool.

You will collaborate with stakeholders across teams to clean data, create concise reports, and visualize findings that inform business decisions and improve data quality in fast-paced environments.