Data Analyst Apprentice
Data Cleansing: Cleanse and preprocess data to remove inconsistencies, errors, and duplicates, ensuring data integrity and reliability for analysis.
Data Analysis: Utilise statistical techniques and data analysis tools to analyse large datasets, extract meaningful insights, and identify trends and patterns relevant to business objectives.
Data Visualisation: Create visualisations, dashboards, and reports to present findings and insights in a clear and concise manner, enabling stakeholders to make informed decisions.
Data Interpretation: Interpret and communicate findings to key stakeholders, providing actionable recommendations and insights to support strategic initiatives and business growth.
Data Governance: Adhere to data governance policies and procedures, ensuring compliance with regulatory requirements and best practices for data management and security.
Continuous Learning: Stay abreast of emerging trends, technologies, and best practices in data analysis, seeking opportunities for continuous learning and professional development.
Training:
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 talent.
• 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 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:
McLaren Automotive, renowned for its innovative approach to automotive engineering and design, continues to lead the industry in luxury sports car manufacturing. As part of our commitment to excellence, we offer apprenticeship opportunities that provide hands-on experience and a pathway to a rewarding career in data analysis.
Working Hours :
All details will be confirmed at interview
Skills:
Communication skills,Attention to detail,Organisation skills,Team working,Non judgemental