Job Summary: In this role youll 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 customers 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.
Job Title: Data Analyst (Excel) Job Type: Contractor Location: Remote Job Summary: In this role youll 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 ...
Job Title: Data Analyst (Excel)
Job Type: Contractor
Location: Remote
Job Summary: In this role youll 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 customers 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.