Data Analyst Apprentice
Duties:
Sales Analysis:
To investigate historic sales results and forecasts within the Brother ERP systems, providing analysis in Excel to LabellingManagement including:
Mass deal coordination and monitoring price support Pan European customer sales analysis Product development sales analysis Production and stock analysis Price monitoring and preparing price structuresKey Performance Indicator reporting:
Establish KPI reports for Local offices and Labelling Management to monitor and drive relevant behaviour in key strategic areasBudgeting:
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 investigationPromotion Analysis:
Prepare and update monthly sales reporting in Excel and price support administrationSupplies Sales Analysis:
To monitor Brother and 3rd party supplies sales and print volume trends through market data and App logs providing analysis to Labelling ManagementOffice Admin:
Assisting with meeting organisation, maintaining internal price sheets and general department admin supportAs well as:
Collecting and analysing relevant market data to inform the organization’s marketing strategy Market data includes customer, company, competitor, industry and stakeholder analyses Analyzing and synthesising information to understand issues, identify options, and support sound decision making Understanding and applying organisational sales process effectively Using data and information to set priceTraining:
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 apprenticeshipTools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel.
Training Outcome:
90% of QA Apprentices secure permanent employment after finishing their apprenticeship. Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks.
Employer Description:
Brother International Europe (BIE) is the European hosting company for Brother in Europe, based in Manchester, UK and part of the global Brother Group. Since the 1950s Brother has built a strong presence in Europe. BIE has sales offices or representatives in 23 European countries, a central sewing machine HQ for Europe based in Germany, and production facilities in the UK and Slovakia, with a workforce of over 1,300 people.
Working Hours :
All details will be confirmed upon interview.
Skills:
Communication skills,IT skills,Attention to detail,Presentation skills,Administrative skills,Analytical skills,Team working,Non judgemental,Patience,Have the ability to:,Manipulate large data sets,Create visualisations,Excel skills / experience