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Data Analyst Excel

Pubblicato il 01-09-2026 - YO IT CONSULTING in Italia

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 w

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