Summary
Whether you will be providing support through finding and collating data to creating reports to help people visualise the data you have found. You will be working in a company that prides itself to support its employees through progression.
Wage
£16,000 a year
Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm
37 hours 30 minutes a week
Possible start date
Tuesday 4 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
* Collect data from the daily log system - export to CSV.file - put into Excel to cross check reconciliation process to capture systems
* Preparing presentations of deliverables, including reports
* Analyse survey data for trend information and presenting findings
* Extract logged comments on sewer viewer and associated systems to look at trends and investigating
* Present to internal operations management, creating visualisations
* Produce statistical performance information regarding site crews’ work
* Plans-pictorial information, understanding where things have gone wrong and how to put it right
Where you’ll work
Prospect House
Colliery Close, Staveley
Chesterfield
S43 3QE
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
* Data Technician Level 3 Apprenticeship Standard
* Your training will be delivered online via a SMART classroom every 4-6 weeks in 2 day blocks
Requirements
Essential qualifications
GCSE in:
* English (grade 4/C)
* Maths (grade 4/C)
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
* Attention to detail
* Analytical skills
* Passion for Data