Senior Data Quality Analyst

Key Responsibilities

• Evaluate generated artifacts (documents, spreadsheets, slide decks) for factual accuracy, structural integrity, and domain appropriateness using defined quality rubrics
• Identify and document errors spanning content accuracy, data logic, formatting, and visual presentation standards
• Deliver clear, well-structured written feedback that enables iterative improvement of evaluated outputs
• Apply CRM operations and data quality frameworks to assess whether outputs meet professional-grade standards
• Maintain consistent scoring discipline across diverse artifact types and varying levels of complexity

Core Requirements

• Demonstrated professional expertise in data quality management, CRM operations, or a closely related discipline
• Strong command of data accuracy assessment including validation logic, field-level integrity, and workflow coherence
• Advanced proficiency in Microsoft Office and Google Workspace, with particular strength in PowerPoint and Google Slides
• Ability to produce precise, actionable written evaluations under independent, self-directed working conditions
• Native or professional-level English fluency with strong technical writing capability

Additional Strengths

• Advanced degree (Master's or higher) from a reputable institution in a relevant field
• Prior exposure to model evaluation, QA processes, or rubric-based assessment workflows