Senior Data & AI Apprenticeship Tutor (Remote)

QA-1

Greater London

On-site

GBP 44,000 - 68,000

Full time

9 days ago

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Benefits offered by this job

27 days annual leave

Private Medical Insurance

Pension Scheme

Cycle to Work scheme

Employee Discounts

Job summary

QA is seeking a Senior Apprenticeship Tutor- Data and AI to deliver apprenticeship programmes across the Data pathway, from foundational data skills through to advanced analytics and data engineering. Based remotely, you will partner with subject matter experts to create practical, industry-relevant learning experiences that develop learners' technical capabilities and prepare them for data-focused roles.

You will coach and mentor learners, contribute to learning content improvements, champion

Qualifications

Master’s, PhD or equivalent professional experience in Data Analytics, Data Engineering, Computer Science, Data Science or a related discipline.
Experience and Industry experience in Data Analytics, Business Intelligence, Data Engineering or a related discipline.
Strong knowledge of SQL, databases and data management principles.
Experience using Power BI, Tableau or similar visualisation tools.
Familiarity and experience with Python and modern data technologies.
Knowledge of cloud-based data platforms, preferably Azure.
Excellent communication, presentation and facilitation skills.
Ability to engage, motivate and inspire learners from a variety of backgrounds.
Passion for lifelong learning and professional development
Teaching qualification or willingness to work towards one.

Responsibilities

Data literacy, analysis and data-driven decision making.
Data quality, governance and ethical data practices.
SQL, databases and data modelling.
Statistics, exploratory data analysis and insight generation.
Data visualisation, storytelling and business intelligence using Power BI and Tableau.
Python for data analysis and engineering.
ETL processes, data integration and data warehousing.
Data engineering fundamentals and cloud technologies, particularly Azure.
Deliver engaging, practical learning experiences across QA's Data apprenticeship programmes.
Use real-world examples to demonstrate the business impact of data.
Coach, mentor and support learners to achieve successful outcomes.
Provide specialist technical expertise and contribute to the continuous improvement of learning content and delivery.
Champion quality, innovation and learner engagement across all activities.
Maintain current knowledge of industry trends, technologies and apprenticeship standards