Summary
We are a forward-thinking, award-winning technology company that thrives on innovation, creativity, and collaboration. Our passion for delivering data-driven solutions to help organisations achieve their goals is at the heart of everything we do.
Wage
£19,000 a year
25 days holiday plus bank holidays
Training course
Data technician (level 3)
Hours
Monday to Friday between 9am till 5pm.
37 hours 30 minutes a week
Possible start date
Tuesday 11 March
Duration
1 year 3 months
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
* Analysing data and providing actionable insights to the management team
* Involvement with the analytics of our stream customers in order to provide them with data and statistics
* Using Google spreadsheets and Google Looker Studio to produce graphs, charts and tables
* Creating presentations for management
* Analysing data to provide insights into the business
Where you’ll work
4-6
Kerry Hill
Horsforth
Leeds
LS18 4AY
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
BALTIC TRAINING SERVICES 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
Online training delivered by Baltic Apprenticeships qualified trainers.
Requirements
Essential qualifications
GCSE in:
* English (grade C/4)
* Maths (grade C/4)
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
* Problem solving skills
* Presentation skills
* Number skills
* Analytical skills
* Logical
* Team working
* Initiative
* Patience