Data Processor

We are seeking a skilled Data Specialist to join our team.

This role involves working with data, collaborating with our talented engineers, and ensuring the end-to-end completion of the 'Extraction-QA-Feedback-Delivery' process.

The ideal candidate will have excellent attention to detail, a strong analytical mindset, and be tech-savvy.

Responsibilities include:

• Extracting, QCing, auditing, and delivering completed and approved datasets meeting predetermined deadlines.
• Researching and troubleshooting issues associated with data and/or tools provided.
• Catching and reporting bugs by highlighting trends and exceptions that require fixes.
• Suggesting process improvement ideas to bring efficiency and structure to workflows.
• Implementing automation solutions to make our QA processes more robust and efficient.
• Working closely with our team of developers to manage ETAs and deliverables.
• Assisting our AI and RPA models by manually parsing data for delivery or process automation.
• Conducting domain-specific preliminary research for building subject matter expertise.
• Owning end-to-end operations process for daily project deliverables.
• Responding to client inquiries related to ongoing projects.

The successful candidate will have:

• A bachelor's degree in any field.
• At least 1 year of experience working on Excel / Google Sheets.
• Familiarity with XPath, SQL, or any query/coding language would be a plus.
• Excellent attention to detail and proven ability to perform under pressure.
• A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with data.
• An open-minded, motivated self-starter with a positive approach to problem-solving.
• An active listener who can effectively translate instructions into action.

This is a work-from-home position that requires:

• High-speed internet connectivity for video calls and efficient work.
• A capable business-grade computer (e.g., modern processor, 8 GB+ of RAM).
• A dedicated workspace for uninterrupted and efficient work.
• Headphones with clear audio quality.
• A stable power connection and backups in case of internet/power failure.

Please note that this job does not guarantee an organic segue into AI & ML roles, nor is it an opportunity to develop a career solely in data visualization.