Junior Data Analyst

Manpower UK Ltd; Erskine; On-site; GBP 22,000 - 28,000; Full time

Job summary

Manpower UK Ltd in the United Kingdom is seeking a Junior Data Analyst for our Erskine hardware processing site. This early-career role offers on-the-job training with exposure to back-office operations and lease data management.

The ideal candidate will recent graduate, proficient in Excel, with strong attention to detail and good communication. You will support daily tasks and work with sales and service teams to ensure accurate data processing.

Qualifications

• Strong Excel skills and data handling.
• Ability to analyse lease contracts and data.
• Good written and verbal communication.

Responsibilities

• Match returned hardware to original leases.
• Analyse customer lease contracts in detail.
• Interact with in-country specialists.
• Terminate lease contracts with accuracy.
• Resolve complex data issues.
• Prioritise daily tasks efficiently.

Skills

MS Excel

Data analysis

Attention to detail

Time management

Communication

Education

Recent degree in any discipline

Job description

Junior Data Analyst
Our Client manages customer-returned End of Lease computer hardware world-wide with the remit to accurately terminate leases & invoice customers accordingly.

They also make available to Sales Teams a consistent supply of all types of hardware from tablets, notebooks & printers through to complex data centers from all commercial vendors. The End of Lease Returns Team currently has a vacancy for a Junior Data Analyst and invites recent graduates to apply for this key back office role based in our hardware processing site in Erskine. This is an exciting early-career development opportunity for a suitably-qualified & motivated candidate. On-the-job training will be provided.

Role

• Match physically-returned hardware with those originally leased


• Analyse customer lease contracts in detail


• Interact with customer-facing specialists in-country


• Terminate lease contracts with a high degree of accuracy


• Resolve complex data comparison issues


• Efficiently prioritise daily tasks

Education

• Recent degree in any discipline

Person specification

• Confident MS Excel user


• Good communicator - written & verbal


• Good problem solver


• Data analysis ability


• Good time manager


• Ability to focus on fine detail