Data Technician Apprentice with NumberMill
Weekly Hours Worked: Monday-Thursday 8.30am-5.30pm /Friday 8.30am-4.30pm
Short Description:
This role offers a unique opportunity to develop essential professional skills, including providing effective support, working collaboratively within a team, and delivering excellent customer service. Ideal candidates will demonstrate a strong willingness to learn, a proactive approach, and a genuine drive to support others.
Full Description:
Apprentice responsibilities will include assisting the payroll team, invoicing clients, pension reconciliations, weekly margin reports for clients. Collating and formatting and analysing data.
The duties of a Data Technician includes providing office support to both employees and customers, keeping company data updated and interacting with clients to build good relationships. This may include:
· Answering phone calls
· Following up on client and employee queries
· Preparing plans to help streamline and improve business operations
· Weekly Margin Reporting to Clients
· Submitting data to HMRC on a monthly basis
· Pension Reconciliations
· Administrative tasks
· Timesheet Entry
· Raising invoices to clients
· Issuing Employment Contracts
· Obtaining Right to Work checks
· Processing Payroll
Future Prospects:
Potential for a full time role on completion
Training Provided:
BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.
Skills Required:
Personal Qualities:
- Attention to detail
- Eager to learn
- Punctual
- Bubbly personality
Qualifications Required:
5 GCSEs Grade A*-C including English and Maths
IND123
Pay: £8.00 per hour
Application question(s):
- How would you check data for errors or inaccuracies?
- How do you approach tasks that involve large amounts of information?
Work Location: In person
