Remote Data Operations Specialist: Location Data & Audits

Openkrill; United States; À distance; USD 42 000 - 56 000; Plein temps

Résumé du poste

Openkrill is seeking a Data Operations Specialist to join our remote team. This role focuses on managing and auditing location data, ensuring accuracy, and delivering high-quality client services.

You will work with our tools to perform data manipulation, resolve discrepancies, and complete audits on listing data. The ideal candidate has 1-2 years in data operations or QA, strong English skills, and solid organizational abilities to handle multiple deliverables within tight SLAs.

Qualifications

• 1–2 years of experience in data operations, quality assurance, data entry, or related field.
• Detail-oriented with a passion for data accuracy and client success.
• Strong problem-solving skills and ability to follow detailed processes.
• Excellent organizational skills to manage multiple deliverables under tight deadlines.
• Proficiency in English (written, spoken, reading).
• Advanced knowledge of Google Sheets a plus.
• Proficiency in AI utilization is a major plus.

Responsabilités

• Provide expert support to clients on location data using proprietary tools.
• Perform data manipulation tasks and resolve discrepancies per guidelines.
• Provide customer-facing services to increase satisfaction and retention.
• Deliver audits on listing data to maintain accuracy and quality standards.
• Ensure timely completion of deliverables, meeting SLAs and targets.
• Follow communication procedures, guidelines, and policies to provide seamless client support.

Connaissances

Data operations

Quality assurance

Data entry

Problem solving

Organization

Google Sheets

AI utilization

Outils

Google Sheets

AI tools

Description du poste

Openkrill is seeking a Data Operations Specialist to join our remote team. This role focuses on managing and auditing location data, ensuring accuracy, and delivering high-quality client services.

You will work with our tools to perform data manipulation, resolve discrepancies, and complete audits on listing data. The ideal candidate has 1-2 years in data operations or QA, strong English skills, and solid organizational abilities to handle multiple deliverables within tight SLAs.