Data Analyst Excel - Remote

YO IT Consulting; Auckland; On-site; NZD 70,000 - 100,000; Full time

Job summary

YO IT Consulting in New Zealand is seeking a Data Analyst skilled in Excel to help train next-generation AI systems through high‑quality data. This contract role is remote, offering flexible collaboration across teams and stakeholders.

You will analyze, clean, and visualize data, report findings, and contribute to data‑driven decisions for the client's AI initiatives, with strong emphasis on accuracy and clear communication.

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 team's context.

Skills

Excel analysis

Data visualization

Data cleaning

Communication

Cross-functional collaboration

Attention to detail

Teamwork

Tools

Excel

Job description

Overview

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.