Course description
Data Analyst Level 4 Apprenticeship
The ability to make decisions using insights from customer and market data provides a competitive advantage for any business. Even today, many firms are unable to capitalise on the information within their business due to a shortage of experts with specialist or technical data skills.
BPP, in partnership with Grant Thornton, is excited to offer a new Data Technician Apprenticeship. This partnership brings together BPP’s high quality apprenticeship approach with Grant Thornton’s extensive real world insight and expertise, creating a programme with practical application from the outset.
The Data Analyst Apprenticeship will help your organisation recruit new talent into data specialist roles or upskill existing employees who are exposed to greater volumes of data. This will develop the ability in your business for analysis and generate insights to inform better decision making, which is critical to any modern business.
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Upcoming start dates
Suitability - Who should attend?
Set by individual employers, but must include one of the following:
- A minimum of five GCSEs grade A – C (9 – 4 on the new grading system), or
- A Level 3 qualification achieved by one of the following: A levels, NVQ/SVQ Level 3, or a BTEC National
Outcome / Qualification etc.
What will your employees learn?
- Functionality of Microsoft Excel as a data analytics tool
- Programming in Python and R
- Advanced data analytics tools Apache (Hadoop & MADlib), MapReduce, RStudio
- Use of data visualisation tools to present data in infographics, charts and reports
- The ability to compile data from different sources – e.g. business information systems, spreadsheets, reports and public data
- Data types, data life cycle, data structure, database design and data architecture
- Process, cleanse, analyse (including statistical analysis) and present data on a regular basis
- Set up daily and monthly reports
- Run ad hoc and standard data analysis reports and performance dashboards
- Data mining and forecasting
- Big Data – working with and processing large amounts of complex data
Skills and Behaviours
- The ability to collect and analyse information to problem-solve and inform decisions.
- This ensures future effectiveness and prevents issue recurrence. Developing a workforce of analytical minds and problem solvers who understand the root cause and supplement their technical knowledge with a systematic process to tackle problems
- To approach problem solving and decision making with logical thinking and creativity
- Take a business partnering approach and consider the commercial to understand the organisations issues and how they might be resolved through data analysis
- Work independently and taking responsibility. Employees will develop a broad skillset to become self-aware, self-motivated and have the ability to self-regulate to ensure organisational goals are met
- Ability to build trusted and sustainable relationships and work collaboratively with internal and external stakeholders by displaying empathy and sharing knowledge and experience
- To become a proactive self-starter who demonstrates initiative and acts on spotting new opportunities
- Improve efficiency and effectiveness through consistently applying a thorough and organised approach to every task at hand
- Effective communication and engagement approaches to convey the insights and actions from the data. Ability to adapt communication in a variety of situations such as when faced with challenges of change
- Ability to communicate effectively and adapt in a variety of situations such as when faced with challenges of change
- Maintain a productive, professional and secure working environment
- Essential project management skills
Knowledge
- Functionality of Microsoft Excel as a data analytics tool
- Programming in Python and R
- Advanced data analytics tools Apache (Hadoop & MADlib), Map Reduce, RStudio
- Use of data visualisation tools to present data in infographics, charts and reports
- The ability to compile data from different sources – e.g. business information systems, spreadsheets, reports and public data
- Data types, data lifecycle, data structure, database design and data architecture
- Process, cleanse, analyse (including statistical analysis) and present data on a regular basis
- Set up daily and monthly reports
- Run ad hoc and standard data analysis reports and performance dashboards
- Data mining and forecasting
- Big Data – working with and processing large amounts of complex data
- Introduction to business partnering
- Commercial fundamentals.
Qualification achieved
Level 4 Data Analyst Apprenticeship.Training Course Content
- Induction : Digital Behaviours
- Module 1 : Visualisation Tools - Power BI and Excel
- Module 2 : Data Analysis Tools
- Module 3 : Data Analysis Concepts
- Module 4 : Big Data Tools
- Final Phase : End Point Assessment
Course delivery details
- All BPP technology programmes are available online live, providing ultimate flexibility and efficiency for your business
- There are five modules delivered via weekly live lectures using our award-winning Adobe Connect classroom (sessions are also available on-demand and last between 1.5 and 3 hours)
- E-learning content from both BPP and Grant Thornton, that includes video lectures, digital reading and case studies delivered on the BPP learning platform
- Monthly one-to-one meetings with a dedicated Coach
- Your employees will be required to demonstrate the ongoing application of skills to their job role and build a portfolio of evidence that supports their professional development throughout the duration of the programme
Continuing Studies
This role is beneficial to employees in a number of data roles including: Data Analyst, BI Analyst, MI Analyst, Reporting Analyst and Performance Analyst, Data Manager, Data Scientist, Data Modeller and Data Engineer.