Responsibilities:
- Edit, proofread, and format technical documentation related to data analytics, data science, and data engineering projects
- Ensure accuracy, consistency, and clarity in documentation including technical reports, methodologies, data models, dashboards, and user guides
- Collaborate with data scientists, data analysts, engineers, and product stakeholders to understand technical content and workflows
- Review documentation for compliance with style guides, branding, and documentation standards
- Translate complex analytical concepts, algorithms, and data processes into clear, concise language
- Validate technical terminology, data definitions, assumptions, and methodologies for accuracy and completeness
- Assist in developing and maintaining documentation standards, templates, and editorial guidelines
- Edit content related to statistical analysis, machine learning models, ETL pipelines, and data visualization outputs
- Manage version control and document updates across multiple concurrent projects
- Support quality assurance reviews prior to publication or delivery