JOB OVERVIEW

Mondra is a high-growth tech start-up that is delivering a food system environmental insights platform to accelerate the planet’s progress to NetZero carbon emissions.
We are seeking a highly skilled Data Entry Operator to work on client site. The ideal candidate will have experience working within Data Entry, will have worked with “Messy Data” and transferring it into seed data. You will be working on client site and therefore client facing ideally with some experience in maintaining client relationships.

EXPERIENCE

• Previous experience in a clerical or administrative role is preferred but not essential.
• Proficiency in data entry with a high level of accuracy is crucial.
• Familiarity with Google Suite applications and QuickBooks is advantageous.
• Strong organisational skills with the ability to manage multiple tasks simultaneously.
• Excellent phone etiquette and communication skills are necessary for interacting with clients and colleagues.
• A keen eye for detail to ensure all data entries are correct and up-to-date.
  If you possess these skills and are eager to contribute to our team, we encourage you to apply for this exciting opportunity as a Data Entry Clerk.
  Job Types: Full-time, Temporary, Fixed term contract, Freelance
  Contract length: 6 months
  Pay: £22,880.00-£44,618.43 per year

Benefits:

• Additional leave
• Company events
• Private medical insurance

Schedule:

• Monday to Friday

Language:

• English (required)

Work authorisation:

• United Kingdom (required)

Willingness to travel:

• 50% (preferred)

Work Location: In person
Reference ID: Data Cler

• Engage directly with site teams to collect, verify, and input data accurately from diverse and inconsistent sources.
• Establish and maintain strong working relationships with site personnel to ensure smooth and ongoing data collection and communication.
• Support the presentation and formatting of data to meet internal quality standards and client expectations.
• Perform detailed data entry and quality assurance tasks to prepare datasets for internal use and analysis.