Summary
Platform Housing owns and manages 47,000 homes across the Midlands, with a portfolio that includes social and affordable rent and shared ownership houses. Platform Housing is the 7th largest housing association builder completing 1,448 new homes in 2019/20 at an investment of £258m.
Annual wage
£21,915 a year
Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm, with a 30 minute lunch break and with some flexibility.
35 hours a week
Possible start date
Monday 3 March
Duration
2 years
Positions available
1
Work
As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.
What you’ll do at work
In this newly created apprenticeship, you will be joining a vibrant, fast-paced team and will be pivotal in providing day-to-day support to the wider team whilst developing invaluable skills for your future career.
Some of your daily tasks will include:
* Working on HR data analysis and systems support
* Learning essential skills to help our business make informed decisions
* Working closely with experienced colleagues
Whether you’re just starting out, or looking for a career change, this opportunity will give you a fantastic grounding for your career!
Although the main part of the role is working from home, you'll be required to travel and work from our offices in Worcester (WR5 1AQ) or Birmingham Business Park (B37 7YD) as needed, typically once or twice a week.
Where you’ll work
2 Central Park, Great Western Avenue
( Home Based)
Worcester
WR5 1AQ
Training
An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.
College or training organisation
QA LIMITED
Your training course
Data technician (level 3)
Equal to A level
Course contents
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
Your training plan
* Working within the HR Information System (HRIS) you will have the opportunity to study a Level 3 Data Technician with QA limited or similar, by attending 1 day a week alongside learning and working with experienced Colleagues in the HRIS Team during the remainder of the week
Requirements
Desirable qualifications
GCSE or equivalent in:
* English (grade 4 or C and above)
* Maths (grade 4 or C and above)
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
* Communication skills
* IT skills
* Attention to detail
* Organisation skills
* Team working
* Self Motivated