Data Analyst Excel - Remote

Overview

Join YO IT Consulting as a Data Analyst specializing in Microsoft Excel to support the development of advanced AI systems. This contract position is fully remote and focuses on utilizing your data expertise to guide how AI models learn and perform using real-world data inputs. Prior AI experience is not necessary; domain knowledge in data analysis is the priority.

Key Responsibilities

• Perform comprehensive data analyses with Microsoft Excel, deriving actionable insights that aid strategic decision-making across various teams.
• Engage with stakeholders to gather data needs and translate them into effective analytical outputs.
• Cleanse and validate datasets to maintain high standards of data quality, accuracy, and consistency.
• Create clear, concise reports and visual presentations to effectively communicate findings to both technical and non-technical audiences.
• Detect patterns, irregularities, and growth opportunities within complex data to contribute to strategic business initiatives.
• Maintain detailed documentation of analytic methods, outcomes, and recommendations.
• Utilize your expertise to strengthen data-driven decisions within the client’s environment.

Required Qualifications

• Demonstrated hands-on experience conducting data analysis in professional settings using Excel as the main tool.
• Exceptional attention to detail ensuring precise data handling and reporting.
• Strong communication skills with the ability to convey analytical results clearly both verbally and in writing.
• Proven capacity to collaborate effectively with multiple teams to achieve business goals.
• In-depth knowledge of Excel’s functions, formulas, and visualization capabilities.
• Ability to identify and correct inconsistencies within datasets.
• Experience working in environments that demand fast-paced, data-centric decision-making.

Preferred Skills

• Experience providing data insights supporting cross-functional teams and influencing business strategy.
• Capability to present analytical findings to diverse audiences effectively.
• Familiarity with other data analysis software or business intelligence tools.