Summary
Are you passionate about numbers, trends, and solving problems? Do you want to kick-start your career in data analysis and business intelligence within a dynamic and supportive environment? If so, we have an exciting opportunity for you!
Wage
£19,250 a year
22 days of annual leave plus Bank Holidays! A beautiful rurally located office. You will be working hybrid in this role, 4 days from home and 1 day in the office per week.
Training course
Data technician (level 3)
Hours
Monday to Friday, 9.00am - 5:30pm.
40 hours a week
Possible start date
Monday 17 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
* Perform detailed customer research, understanding typical behaviours and characteristics.
* Complete market research using business databases, LinkedIn, Companies House, to identify potential new clients.
* Inputting and Tracking sales data.
* Use HubSpot CRM, Amazon Seller Central and Vendor Central.
* Creating reports for Internal and External Stakeholders.
* Utilise Microsoft Excel to complete data analysis.
Where you’ll work
ROSEMARY
RECTORY HILL
EAST BERGHOLT
COLCHESTER
CO7 6TH
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
* Your training will be delivered in 2-day blocks every 4 weeks, this will be in our online classrooms. Supported by a Specialist Coach from Baltic Apprenticeships.
Requirements
Essential qualifications
GCSE in:
* English (grade 4)
* Maths (grade 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
* Attention to detail
* Eager to learn and develop
* An analytical mindset