Data Analyst Excel - Remote

Data Analyst Excel - Remote

Digital nomads. Work from anywhere

Company: YO IT Consulting

Job Description
Job Title: Data Analyst Excel
Job Type: Contract
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.
Required Skills And Qualifications
* 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.
Preferred Qualifications
* 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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