Highly Skilled Data Entry Specialist

hace 2 semanas


Madrid, Madrid, España Spotter A tiempo completo

Company Overview: We are a rapidly growing AI-powered solutions company, Spotter, seeking an experienced Data Entry Specialist to join our team. Our company is dedicated to delivering high-quality results for our clients by maintaining smooth data operations and ensuring accurate data management.

Salary: $55,000 - $65,000 per annum, depending on experience and qualifications.

Job Description:

We are looking for a detail-oriented Data Entry Specialist to play a key role in managing and maintaining the integrity of data within our systems. The successful candidate will be responsible for accurately entering, organizing, and updating various types of data in our databases, spreadsheets, and other internal tools.

The ideal candidate will have a strong attention to detail, excellent organizational skills, and the ability to manage large datasets with accuracy. They will work closely with our teams across departments to ensure that data is consistent, reliable, and ready for analysis.

Key Responsibilities:

  • Data Entry and Management: Enter and update large volumes of data into various internal systems, ensuring all data is accurate, complete, and well-organized.
  • Data Validation and Quality Assurance: Regularly review and verify data for completeness and accuracy, correcting errors or inconsistencies in datasets as necessary.
  • Data Organization: Organize and classify data into relevant categories, making it easy to access and retrieve for analysis.
  • Collaboration with Teams: Work closely with departments such as analytics, operations, and customer support to ensure data is accurately entered and integrated across multiple systems.
  • Data Reporting Support: Assist in creating reports, documents, and presentations based on collected data, ensuring accuracy and timeliness.
  • Routine Data Audits: Conduct regular data audits to maintain data integrity, checking for duplicate entries, missing data, or inconsistencies, and resolving any issues found.
  • Automation and Efficiency Improvements: Collaborate with the technical team to identify areas where data entry processes can be streamlined or automated, increasing overall efficiency.

Maintaining Confidentiality and Security: Handle all data with confidentiality, protecting sensitive information according to company policies and industry best practices.

Continuous Learning: Stay updated on the latest tools, techniques, and technologies used in data management and data entry, participating in training and development programs to enhance skills and contributions to the team.

Timely and Accurate Work: Adhere to deadlines and maintain high productivity levels, prioritizing tasks, managing multiple data entry projects, and ensuring all work is completed in a timely and accurate manner.



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