Data Analyst Apprentice

Smiths Group
Slough
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Apprentice

Data Analyst Apprentice

Data Analyst Apprentice: Turn Data into Insight (Hybrid)

Data Analyst Apprentice — Online Training & Career Support

Data Analyst Apprentice - Hybrid Training & Projects

Data Analyst Apprentice (Level 4) — Training & Growth

As an apprentice you will be involved in supporting our business transformation team by working with data-driven decision-making by assisting in the collection analysis and interpretation of critical data.


This Level 4 Apprenticeship is designed to provide hands-on experience in data analytics and you will contribute to key projects and initiatives across our business. You will be rotated through our various information domains: quality and engineering manufacturing performance market performance and sales and delivery performance. This will give you the knowledge to understand how critical data is in our decision making to drive our business forwards.


Responsibilities :



  • Use tools such as SharePoint Power BI and Databricks (SQL Python) to perform basic data analysis.
  • Create visualisations and dashboards to communicate insights effectively.
  • Support the development of regular and ad-hoc reports for business.
  • Work collaboratively with internal stakeholders to understand data requirements and business challenges.
  • Participate in meetings and workshops to gather feedback and refine analytical outputs.
  • Communicate findings in a clear and accessible manner to non-technical audiences.
  • Manage key projects from conception through to completion. Ensuring key milestones are hit and project delivers objectives on time and within cost.

Qualifications : Desirable skills :



  • Have a keen interest in data analysis and a desire to learn.
  • Committed to learning and working at the same time.
  • Advanced MS Office skills.
  • Decision making ability and good influencing / team working skills.
  • Strong communication skills and the ability to work well in a team.
  • Time management and organisational skills.
  • Driving licence and own vehicle (due to location of the office).

Entry requirements : Standard entry :



  • Level 3 qualification (apprenticeship / A-levels / BTEC etc)
  • OR equivalent work experience (typically two years in a relevant role)

Plus :



  • 5 GCSEs including English and Maths at Grade 4 (C) or above
  • Experience with using Excel and Microsoft products (or similar)

Additional Information :


With colleagues stretching across the globe we are proud of our diversity. To foster inclusivity we run employee resource groups (ERGs) to provide a safe space for employees to connect and support each other. Our cross-business ERGs include Veterans Pride Network Black Employee Network Network and Neurodiversity.


Across our company we recognize excellence culminating in the Smiths Excellence Awards our annual celebration of the most extraordinary activities people and projects that best showcase our strengths and help drive our business forward. We announce these on our annual Smiths Day a global celebration of Smiths around our network.


Join us for a great career with competitive compensation and benefits while helping engineer a better future.


We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color religion sex sexual orientation gender identity national origin economic status disability age or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics where we celebrate support and embrace diversity.


At no time during the hiring process will Smiths Group nor any of our recruitment partners ever request payment to enable participation including but not limited to interviews or testing. Avoid fraudulent requests by applying jobs directly through our careers website ( Careers - Smiths Group plc)


Remote Work: No


Employment Type: Full-time


Key Skills


Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics


Experience : years


Vacancy : 1


#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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.