Data Entry Analyst

Role Overview

This part-time remote position focuses on entering, checking, and structuring cyber incident and operational information with a high level of precision. The role supports internal analysis as well as externally shared insights by keeping records accurate, current, and easy to use.

What You Will Do

• Collect data from different sources and input it into internal platforms and systems.
• Review records for missing details, errors, and consistency issues, then highlight anything unusual for further review.
• Assist in creating simple summaries, tables, and reports that support analytics and reporting work.
• Maintain organized records and ensure data stays aligned with established standards and privacy expectations.
• Work with teammates to improve the quality of data and make workflows more efficient.
• Support dashboard and dataset preparation by entering information promptly and documenting data-handling steps clearly.

Qualifications

• Good analytical ability and a basic grasp of data analysis concepts to spot patterns and support routine reporting.
• Working knowledge of statistics and data modeling principles for building structured and dependable datasets.
• Clear written and spoken communication skills for documenting procedures and working with different teams.
• Strong focus on accuracy, detail, and confidentiality when dealing with sensitive or security-related information.
• Comfort using spreadsheets and data-entry software; familiarity with databases or dashboard tools such as Excel, Google Sheets, or BI platforms is an added advantage.
• Ability to stay productive in a remote setup, manage time well, and meet deadlines without close supervision.
• Exposure to or interest in cybersecurity, government, or public-sector work is helpful.
• Education in data, information management, or a related area, or equivalent practical experience, is preferred but not required.

Additional Information

This role is designed for someone who can work independently, handle sensitive data responsibly, and contribute to improving data quality and reporting processes.