About the job Technical Data Editor
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Job Overview:
The Technical Data Editor will be responsible for reviewing, editing, and validating technical data to ensure accuracy, consistency, and compliance with industry standards. This role requires a strong understanding of data structures, excellent analytical skills, and the ability to communicate complex information clearly and effectively.
What's For The Candidate:
- Competitive salary based on experience.
- Flexible working hours and remote work options.
- Opportunities for professional development and training in data management and editing techniques.
- A supportive and innovative work environment.
KEY RESPONSIBILITIES:
- Data Validation: Review and validate technical data for accuracy and completeness, ensuring adherence to quality standards and guidelines.
- Editing and Formatting: Edit and format technical documents, reports, and datasets to ensure clarity, consistency, and professional presentation.
- Quality Assurance: Implement quality control processes to identify and correct data discrepancies, inconsistencies, and errors.
- Collaboration: Work closely with data analysts, engineers, and subject matter experts to gather information and provide feedback on data-related projects.
- Documentation: Create and maintain documentation related to data management processes, including data dictionaries, style guides, and best practices.
- Research: Stay up-to-date with industry trends and advancements in data management and editing technologies to enhance efficiency and effectiveness.
Requirements:
- Bachelor's Degree in Data Science, Computer Science, Information Technology, or a related field (or equivalent experience).
- 2+ years of experience in data editing, data management, or technical writing, preferably in a data-focused environment.
- Strong analytical skills with attention to detail and a methodical approach to problem-solving.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Proficiency in data management tools and software (e.g., SQL, Excel, data visualization tools).
Job Location: Remote/Hybrid/In-Office
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