Senior Data Analyst (L4) Apprenticeship Trainer

Data Analyst (L4) Apprenticeship Trainer Location: Home Based Your Role: As a Data Analytics trainer with QA, you will be at the forefront of data and technical delivery, working with subject matter experts to deliver cutting-edge Apprenticeship programs using the latest industry standard software. The ideal candidate will be passionate about all things data, and an inspiring and innovate manner. Key Responsibilities: Teach key topics including: Data collection, cleansing, and validation Exploratory data analysis and statistical techniques Data visualisation using tools such as Power BI, Tableau, or Matplotlib SQL and relational databases Python for data analysis (pandas, NumPy, etc.) Data governance, GDPR, and ethical principles Use real-world examples to demonstrate data storytelling and the business impact of analytics. Use real-world examples to demonstrate data storytelling and the business impact of analytics. Your Experience: Essential : Bachelors or master’s degree in Computer Science, Data Science, AI, or related field. Building and manipulating database applications, both locally and in the cloud Craft captivating learning experiences which demonstrate your design, development, and delivery of learning in Data. Proficient in non-scripting ETL tools. Proficient in Power Bi, Tableau, Qlik and Databricks. Champion of data management best practice. Data storytelling with PowerBI and Desktop (including DAX). Engineering data in Azure. Competent with Microsoft SQL databases (on-premises and within Azure). Data wrangling wizard using languages like C#, R and Python. Passion for lifelong learning and development as a profession. Desirable : Experienced in training, mentoring, or teaching technical content to professionals or students. 3+ years of experience in data systems or research. Teaching qualification or willingness to work towards one

Data collection, cleansing, and validation

Exploratory data analysis and statistical techniques

Data visualisation using tools such as Power BI, Tableau, or Matplotlib

SQL and relational databases

Python for data analysis (pandas, NumPy, etc.)

Data governance, GDPR, and ethical principles

Use real-world examples to demonstrate data storytelling and the business impact of analytics.

Bachelors or master’s degree in Computer Science, Data Science, AI, or related field.

Building and manipulating database applications, both locally and in the cloud

Craft captivating learning experiences which demonstrate your design, development, and delivery of learning in Data.

Proficient in non-scripting ETL tools.

Proficient in Power Bi, Tableau, Qlik and Databricks.

Champion of data management best practice.

Data storytelling with PowerBI and Desktop (including DAX).

Engineering data in Azure.

Competent with Microsoft SQL databases (on-premises and within Azure).

Data wrangling wizard using languages like C#, R and Python.

Passion for lifelong learning and development as a profession.

Experienced in training, mentoring, or teaching technical content to professionals or students.

3+ years of experience in data systems or research.

Teaching qualification or willingness to work towards one

About You

About Us

Wellbeing & benefits Your wellbeing matters to us. That’s why we offer benefits designed to help you recharge and thrive, including: 27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays Holiday Buying scheme Medicash plan, Wellhub, Cycle to Work scheme Private Medical Insurance at corporate rates Employee Assistance Programme Employee Discounts Benefit Hub 3 Development days 2 Charity days per year Pension Scheme Early Friday Finish at 4pm Personal growth Learning and opportunity is at the core of what we do - and that applies to you too! You’ll have the unique opportunity to develop your skills on our QA authored courses in the latest tech (you’ll get 3 training days/year to do this). You can also delve deep into our world-class digital learning content on a variety of tech and business topics. Orperhaps you’d like to enrol on a Degree or Masters programme to enhance your skillset or learn new things. Our people We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs, or sexual orientation, or if you are disabled or a carer, we welcome you and the different perspectives you bring to our diverse family. We’re proud of the progress we’ve achieved over the last few years to build an inclusive culture and celebrate our diversity. As a Disability Confident Employer, we guarantee that all applicants with a disability who meet the role criteria will progress to the next stage of the process. Please let us know if you require any reasonable adjustments. A little about QA At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners in the last 3 years. Our Mission: We teach the critical AI, technology, digital and Human skills needed to transform and succeed in a changing world.We do this through tailored learning programmes that connect learning across an organisation, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solutions draw from deep expertise across Apprenticeships, Instructor-led training, Self-paced Learning and Blended Learning. You can find out more about us at https://www.qa.com/about/careers/

27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays

Holiday Buying scheme

Medicash plan, Wellhub, Cycle to Work scheme