Data Analyst Trainer

QA Higher Education
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

CargoWise Master Data Analyst

Senior Data Analyst

Data Analytics Governance Analyst Banking

Data Analyst

Data Analyst Business Coach

Data Analyst Business Coach

About The Role

Data Analyst Trainer


Home based/travel to site if required


Job Summary

Teaching Data Apprenticeship programmes at Level 3 & 4 as part of our programme delivery, aimed at empowering individuals and organisations to unlock the power of data. You’ll design and deliver cutting‑edge training programs in database design and visualisations using industry standard software. Finally, you’ll get the opportunity to collaborate with subject matter experts to develop and refine learning content that empowers learners to excel in the evolving data landscape.


Role Responsibilities

  • Craft and deliver immersive and cutting‑edge experiences across the Data Science curriculum, captivating learners from diverse backgrounds and organisations.
  • Collaborate and innovate with subject matter experts to develop dynamic and engaging courses and other high‑impact learning assets that drive growth. Provide in‑depth expert knowledge in your specialist area, offering insights cross‑functionally when required.
  • Champion quality and innovation by upholding the highest standards of excellence and drive innovation as a key ambassador for our renowned training programs.
  • Fuel your growth by taking ownership of your professional development, ensuring your expertise remains relevant and cutting‑edge in the ever evolving field of data science – 3 days of free training on any of our courses available.

Your Experience/Skills

  • Experience in using data tools such as: PowerBi, Tableau, Data Storytelling, SQL
  • Proficient in the use of programming languages: Python, SQL
  • Experience in using and good knowledge of: Data manipulation & visualisations, Data modelling, Data architecture and cloud, Data analytics and statistics
  • Desirable knowledge of apprenticeships and work‑based learning
  • Desirable knowledge of the Ofsted Common Inspection Framework
  • Desirable industry experience with teaching/ coaching experience
  • Passion for lifelong learning and development as a profession

About Us

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 since 1985.


We believe skills alone aren’t enough, but need to be applied back to the business in order to effect change. We do this through tailored learning programmes that connect learning across an organisation’s siloes, create continuity for learners, and feature collaborative, cohort‑based modalities to apply skills at pace and at scale. Our unique end‑to‑end learning solution draws from deep expertise across apprenticeships and instructor‑led training, and self‑paced learning.


QA is headquartered in London and New York. Learn more at QA.com


Safeguarding Statement

QA is committed to safeguarding and promoting the welfare of children, young people and adults with care and support needs. We hold the expectation that all staff share this commitment in creating a safe and inclusive environment and as an organization, we comply with relevant legislation and best practices in safeguarding and safe recruitment.


Responsibilities and Screening

This post is exempt from the Rehabilitation of Offenders Act 1974 and a comprehensive screening process will be undertaken on successful applicants including:



  • an enhanced disclosure check
  • Child Barring list check
  • qualification checks
  • online checks
  • medical fitness
  • identity and right to work

All applicants will be required to provide two references covering the previous three years and a Criminal Declaration form must be completed and returned ahead of interview.


Next Steps

If this is what you’re looking for, here are the next steps:


Hit the apply button and register on our QA website to fill out our quick and easy application form – we'll be in touch with the next steps if successful.


#LifeatQA #QA #theresnoplacelikeqa #LI‑VK1 #hiring


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.