Description
Entry requirements
To be eligible you must fulfil the following criteria:
- You must be employed in a role relevant to this programme to be eligible to apply.
- Your current role should be UK based and you must have lived here for at least three years
- The programme must address development needs in your current role
- Your line manager must be able to support you throughout the programme
Who will benefit?
- Individuals with a foundational understanding of data handling.
- Individuals with a strong interest in data analysis and AI and want to develop specialised skills in your career.
- For those already working in roles with proficiency in data management or self-taught analytics, this programme offers structured learning to expand expertise in AI-driven data analysis and best practices.
What you will learn
- Develop the ability to make sharper, faster decisions by exposing performance gaps through AI-powered analytics
- Understand how to streamline operations with intelligent data tools that uncover inefficiencies, cut costs, and boost productivity
- Learn how to stay ahead of change by applying predictive insights that proactively shape strategy and fuel long-term, sustainable growth
- Develop the ability to automate data workflows and get from raw data to clear insight
- Explore predictive analysis methodologies, enabling foresight into trends crucial for strategic decision-making.
How is your programme structured?
Knowledge
- Data analyst Concepts
- Data analyst Tools
- Big data tools
- Visualisation tools
- Introduction to Business Partnering
- Commercial Fundamentals
- Identifying Needs
- Identifying Insights
- Effective Communication
- Effective Engagement
Skills and behaviours
- Logical and creative thinking skills
- Analytical and problem-solving skills
- The ability to work independently and take responsibility
- Use of own initiative
- A thorough and organised approach
- An ability to work with a range of internal and external stakeholders
- The ability to communicate effectively and engagement approaches to convey the insights and actions from the data
- How to maintain a productive, professional and secure working environment
- Take a business partnering approach and consider the commercial to understand the organisations issues and how they might be resolved through data analysis
End Point Assessment
Once you have completed all of the Knowledge, Skills and Behaviours, you will complete an End Point Assessment. This is conducted by an external assessment organisation and will be graded as either a pass, fail, or distinction.
How we support you
- You will be taught by expert tutors who have practical experience in the fields in which they teach and a passion to share that knowledge to maximise your career potential
- You will have access to a Coach who is on hand to guide you through each stage of your learning journey, providing you with clear aims and objectives. They will keep in regular contact with you and instil the confidence that you can achieve
- You will also attend webinars to develop skills in a variety of areas and prepare you for the end point assessment.
- You will have access to an Online Learning Environment with all of your qualification content, additional learning resources and all the step-by-step support you need to ensure your success
- BPP and Grant Thornton have collaborated to bring exclusive and vital content that cultivates the skills needs for the application of data analysis back in your business.
- Peer network – you will receive exclusive access to Grant Thornton peer to peer networking events that attract a diverse mix of data professionals
Commitment from you
During this programme, six hours a week will be spent on learning and developing the required Knowledge, Skills and Behaviours. This development time will include learning new relevant tasks in your role, embedding your knowledge in your role, practical workplace training, spending development time with your Line Manager, attending online or face-to-face courses and time spent writing assignments/assessments or directed self-study hours:
- Evidencing the application of your knowledge within your working day
- Independent study and research
- Shadowing colleagues and mentoring
- Technical training