Junior Data Analyst - End-of-Lease Returns (Contract) in Bishopton

Junior Data Analyst - End-of-Lease Returns (Contract) in Bishopton

Bishopton Full-Time 13.5 - 13.5 £ / hour (est.) No working from home possible
JAM Recruitment Ltd

At a Glance

  • Tasks: Analyse data and match returned hardware with leased items for accurate invoicing.
  • Company: Join JAM Recruitment Ltd, a dynamic team in Bishopton.
  • Benefits: Earn up to £13.50 per hour with on-the-job training.
  • Other info: Full-time role at the Erskine processing site with growth potential.
  • Why this job: Kickstart your career with practical experience in data analysis.
  • Qualifications: Ideal for recent graduates with a passion for data.

The predicted salary is between 13.5 - 13.5 £ per hour.

JAM Recruitment Ltd is seeking a Junior Data Analyst in Bishopton to support an End of Lease Returns team.

You will match returned hardware with leased items, analyse discrepancies and ensure accurate invoicing.

The role offers on-the-job training and is suitable for recent graduates seeking practical experience at the Erskine processing site.

The position is full-time, based in Erskine, with a pay rate up to £13.50 per hour.

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Junior Data Analyst - End-of-Lease Returns (Contract) in Bishopton employer: JAM Recruitment Ltd

At JAM Recruitment Ltd, we pride ourselves on being an exceptional employer that values the growth and development of our team members. Located in Birmingham, we offer a dynamic work culture that fosters collaboration and innovation, alongside competitive salaries and hybrid working options. With a strong focus on career progression, our employees are empowered to take on leadership roles and make a meaningful impact in the field of personal injury law.

JAM Recruitment Ltd

Contact Details:

JAM Recruitment Ltd Recruitment Team

We think you need these skills to ace Junior Data Analyst - End-of-Lease Returns (Contract) in Bishopton

Data Analysis
Attention to Detail
Analytical Skills
Problem-Solving Skills
Invoicing Accuracy
Hardware Matching
Discrepancy Analysis