Summary
Are you passionate about data and eager to start a career in analytics? Husqvarna, a global leader in outdoor power products, is offering an exciting opportunity for a Data Analyst Apprentice to join their Planning & Materials team.
Wage
£14,526.20 a year
Training course
Data technician (level 3)
Hours
Monday - Thursday, 8.30am - 4.45pm and Friday, 8.30am - 3.00pm
37 hours a week
Possible start date
Monday 24 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
* Support the wider Planning & Materials Team with reporting functions.
Confidently use JDE (JD Edwards) systems to support implementation of plans in Moulding, Battery, Build Ahead, and Spares areas
* Coordinate production operations in line with material, labour, and equipment availability
* Work with the wider team to implement improvement processes within the JDE environment
* Monitor production progress and ensure final products meet quality standards and customer specifications
* Identify business risks and create reports to highlight areas for improvement
* Drive business efficiency by increasing automation through accurate reporting and analysis
* Create forecasting models to support business decisions
* Merge data from multiple sources to generate comprehensive insights
* Use Oracle (JD Edwards) and Microsoft Excel to collect and extract data
Where you’ll work
Preston Road
Aycliffe Industrial Park
Newton Aycliffe
County Durham
DL5 6UP
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
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
* IT skills
* Attention to detail
* Organisation skills
* Customer care skills
* Problem solving skills
* Team working