Contracts and Data Officer in Royston

Contracts and Data Officer in Royston

Royston Full-Time 16.35 - 16.35 £ / hour (est.) No working from home possible
Triumph Consultants

At a Glance

  • Tasks: Manage contracts and analyse data to ensure compliance and efficiency.
  • Company: Join a dynamic team in Barnsley focused on impactful contract management.
  • Benefits: Competitive pay, full-time hours, and a supportive work environment.
  • Other info: This is a temporary role with potential for future opportunities.
  • Why this job: Make a difference by ensuring smooth operations through effective contract management.
  • Qualifications: Experience in contract management and strong analytical skills required.

The predicted salary is between 16.35 - 16.35 £ per hour.

Is your CV ready? If so, and you are confident this is the role for you, make sure to apply asap.

Job Ref: Barnsley 000B 2DB0 / 1

Pay Rate: £16.35 per hour PAYE

Hours per week: 37 Monday - Friday, 9:00-17:00

On site

This opening assignment is for 2 months

Barnsley S71 1NL

Summary of what the candidate must have to apply:

  • Experience in contract management, contract monitoring or contract administration.
  • Strong analytical skills with experience interpreting complex data.

Contracts and Data Officer in Royston employer: Triumph Consultants

As a Contracts and Data Officer in Barnsley, you will join a supportive and dynamic team that values collaboration and professional growth. Our company offers competitive pay, a structured work schedule, and opportunities for skill development, ensuring that you can thrive in your role while contributing to meaningful projects within the community. With a focus on employee well-being and a positive work culture, we are committed to making your experience both rewarding and fulfilling.

Triumph Consultants

Contact Details:

Triumph Consultants Recruitment Team

We think you need these skills to ace Contracts and Data Officer in Royston

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