Data Analyst Excel - Remote

YO IT Consulting; Eindhoven; On-site; EUR 52,000 - 62,000; Full time

Job summary

YO IT Consulting is seeking a Data Analyst who will help train next-generation AI systems. You will shape how models learn, reason, and perform by providing high-quality, real-world input, drawing on solid data analysis capabilities with Excel as your primary tool.

No prior AI experience is required; your domain knowledge and meticulous approach to data cleaning, validation, and reporting will be valued across teams in a fast-paced environment.

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.

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.

Skills

Excel data analysis

Attention to detail

Communication skills

Cross-functional collaboration

Advanced Excel

Data cleaning

Fast-paced environment

Job description

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.