Remote Data Entry Specialist β€” Flexible Hours & Pay

Remote Data Entry Specialist β€” Flexible Hours & Pay

Full-Time 20250 - 24750 Β£ / year (est.) No working from home possible
Railway Corp

At a Glance

  • Tasks: Input large volumes of data accurately and efficiently from the comfort of your home.
  • Company: Join blithequark, a forward-thinking company that values flexibility and remote work.
  • Benefits: Enjoy flexible hours, competitive pay, and the freedom to work from anywhere.
  • Other info: Great opportunity for students or anyone seeking a flexible job.
  • Why this job: Perfect for detail-oriented individuals looking to balance work and life while earning.
  • Qualifications: Strong typing skills and a keen eye for detail are essential.

The predicted salary is between 20250 - 24750 Β£ per year.

blithequark is seeking a Data Entry Specialist to input large volumes of data remotely with high accuracy and speed.

The role offers flexible scheduling and the ability to work from home.

You will report to the Data Entry Supervisor and handle data across various systems, maintaining data quality and meeting deadlines.

A detail-oriented mindset and strong typing skills are essential for success.

Remote Data Entry Specialist β€” Flexible Hours & Pay employer: Railway Corp

At blithequark, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. As a Customer Experience Specialist in our vibrant tech environment, you'll enjoy comprehensive training, opportunities for professional growth, and the chance to collaborate with a passionate team dedicated to innovation and customer satisfaction. Our commitment to employee development and well-being makes us a standout choice for those seeking meaningful and rewarding careers.

Railway Corp

Contact Details:

Railway Corp Recruitment Team

We think you need these skills to ace Remote Data Entry Specialist β€” Flexible Hours & Pay

Communication Skills
Problem-Solving Skills
Python
Attention to Detail
SQL
Data Engineering
Data Pipeline Development