Summary
You will have the opportunity to gain valuable skills, knowledge and experience as you complete a Data Analyst - Level 4 Apprenticeship. Duties will include Mass deal coordination and monitoring price support.
Annual wage
£18,000 a year
£18,000 - £20,000 per annum.
Training course
Data analyst (level 4)
Hours
All details will be confirmed upon interview.
37 hours 30 minutes a week
Possible start date
Monday 17 February
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
* Product development sales analysis
* Production and stock analysis
* To support the budget process through Quarterly supplies forecast support, preparing and updating Target sheets, uploading data to SAP and performing data validation checks and investigation.
* To monitor Brother and 3rd party supplies sales and print volume trends through market data and App logs providing analysis to Labelling Management.
* Establish KPI reports for Local offices and Labelling Management to monitor and drive relevant behaviour in key strategic areas.
* Prepare and update monthly sales reporting in Excel and price support administration.
Where you’ll work
Brother House
1 Tame Street
Audenshaw
Manchester
M34 5JE
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 analyst (level 4)
Equal to higher national certificate (HNC)
Course contents
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
Your training plan
Why choose our Data Analyst including Power BI apprenticeship?
QA's Data Analyst including Power BI Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.
The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing. At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.
QA's Data Analyst including Power BI Level 4 apprenticeship programme enables your organisation to:
* Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders
* Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace
* Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talents
* Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional Analyst Data with Microsoft Power BI module. The technical content aligns to and is relevant to employers and the market
* Upon successful completion, learners will be awarded the Data Analyst including Power BI Level 4 apprenticeship
Tools and technologies learnt: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel.
Requirements
Essential qualifications
GCSE or equivalent in:
* any subject -- x3 (grade 4 (C) or above)
* English (grade 4 (C) or above)
* Maths (grade 4 (C) or above)
A Level or equivalent in:
* any subject [preferably IT] (grade Level 3)
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
* Analytical skills
* Team working
* Non judgemental
* Patience