Lecturer - HTQ Level 4 Data Analyst
Role details
Job location
Tech stack
Job description
To deliver high-quality teaching, learning, and assessment for the HTQ Level 4 Data Analyst qualification, equipping learners with the analytical, technical, and professional skills required for entry-level roles in data analysis.
The lecturer will provide engaging, industry-relevant teaching, support learner progression, and contribute to curriculum development aligned with employer needs and current data practices., Teaching & Learning
- Plan and deliver engaging sessions across core data analytics topics, including Data analysis techniques, Data visualisation, Statistical methods, etc.
- Use practical, hands-on teaching approaches and deliver both classroom-based and online/blended learning.
· Deliver both theoretical knowledge and hands-on practical skills using industry tools
- Ensure teaching reflects current tools, technologies, and industry practices.
Assessment & Quality Assurance
- Design and deliver assessments in line with HTQ and awarding body requirements (e.g., NCFE).
- Provide detailed and timely feedback to learners.
- Track learner progress and maintain accurate assessment records.
- Participate in internal verification and external quality assurance processes.
Student Support
- Provide academic and pastoral support.
- Monitor attendance, engagement, and achievement.
- Support learners with progression into employment or higher study.
- Embed employability and professional behaviours.
Curriculum Development
- Contribute to continuous improvement of the Data Analyst curriculum.
- Work with employers to embed real-world data problems.
Requirements
Do you have experience in Teaching?, Do you have a Master's degree?, * Master's Degree in Data Analytics, Statistics, Computer Science, or related field
- Teaching qualification (PGCE / Cert Ed) or willingness to work towards
- Level 6+ qualification in a relevant discipline
Essential Experience
- Experience delivering data-related teaching or training
- Practical experience using:
- Excel (advanced)
- Data visualisation tools (Power BI / Tableau)
- SQL databases
- Experience working with real datasets and business analysis scenarios
Skills & Knowledge
- Strong understanding of:
- Data analysis techniques
- Data visualisation principles
- Basic statistics and data modelling
- Ability to simplify complex concepts
- Strong communication and organisational skills