Hybrid Data Services Coordinator

Career Choices Dewis Gyrfa Ltd; Manchester; Hybrid; GBP 23,000 - 28,000; Full time

Benefits offered by this job

Annual bonus

28 days holiday

Pension with employer contributions

Onsite gym discount

Staff discount

Stream

Early access to pay

Virtual healthcare

Training and development

Cycle-to-work

Job summary

Co-op in Manchester is hiring a Data Services Co-ordinator on a 6-month fixed-term contract. The role sits in the Data Management team within CBS, with hybrid working. Salary £25,430 plus benefits, and responsibilities across data input, maintenance and reporting.

You will build cross-functional relationships, manage large data sets, and provide data-driven insights to improve processes. A strong eye for detail is required.

Qualifications

• Strong attention to detail and accuracy is essential.
• Organised approach with ability to manage shifting priorities.
• Proficient with Microsoft Office 365 and basic data entry.
• Able to build relationships with partners across the business.
• Willingness to work in a hybrid Manchester role and learn new systems.

Responsibilities

• Build relationships and collaborate with partners across the business to ensure accuracy first time.
• Input and maintain product, pricing, promotions, location and supplier data in systems.
• Manage large datasets and reporting, review documents for timely submission.
• Respond to colleagues' queries with data-driven recommendations.
• Support business change projects and identify process improvements.
• Analyse data to spot inconsistencies and trends for continuous improvement.

Skills

Teamwork

Attention to detail

Organised

Adaptability

MS Office 365

Tools

Microsoft Office 365

Job description

Co-op in Manchester is hiring a Data Services Co-ordinator on a 6-month fixed-term contract. The role sits in the Data Management team within CBS, with hybrid working. Salary £25,430 plus benefits, and responsibilities across data input, maintenance and reporting.

You will build cross-functional relationships, manage large data sets, and provide data-driven insights to improve processes. A strong eye for detail is required.