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Data Analyst Excel - Remote

YO IT Consulting
Dubai, UAE
fulltime
Entry
Today
SQLPythonR ProgrammingData VisualizationStatistical AnalysisMachine Learning
Free

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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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