Remote Data & AI Apprenticeship Trainer

QA Ltd; England; Remote; GBP 21,000 - 28,000; Full time

Benefits offered by this job

27 days annual leave

Holiday buying scheme

Medicash plan

Private medical insurance

Employee Assistance Programme

Employee Discounts Benefit Hub

Development days

Charity days

Pension Scheme

Early Friday Finish at 4pm

Job summary

QA Ltd is seeking a Data Analyst (L4) Apprenticeship Trainer to deliver cutting-edge apprenticeship programs from home-based locations across the UK. You will work with subject matter experts to teach data analytics using industry standard tools, shaping the next generation of data professionals.

You will design engaging learning experiences, coach apprentices in SQL, Python, Power BI and data governance, and help learners translate data into business insights.

Qualifications

• Experience in training, mentoring or teaching technical content.
• 3+ years of experience in data systems or research.
• Teaching qualification or willingness to work towards one.

Responsibilities

• Teach data analytics topics covering data collection, cleansing, validation.
• Perform exploratory data analysis and statistical techniques.
• Deliver data visualization sessions using Power BI, Tableau, or Matplotlib.
• Teach SQL and relational databases concepts and practices.
• Instruct Python for data analysis (pandas, NumPy).
• Cover data governance, GDPR and ethical data handling.

Skills

Database development

Instructional design

Data governance

Data storytelling

Python

R

C#

Azure data engineering

SQL databases

ETL tools

Learning design

Education

Bachelors/Master's in CS/DS/AI

Teaching qualification (or willingness to pursue)

Tools

Power BI

Tableau

Qlik

Databricks

Job description

QA Ltd is seeking a Data Analyst (L4) Apprenticeship Trainer to deliver cutting-edge apprenticeship programs from home-based locations across the UK. You will work with subject matter experts to teach data analytics using industry standard tools, shaping the next generation of data professionals.

You will design engaging learning experiences, coach apprentices in SQL, Python, Power BI and data governance, and help learners translate data into business insights.