Data Analyst Apprentice

Smiths Group
Slough
2 days ago
Create job alert

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

Related Jobs

View all jobs

Data Analyst Apprenticeship

Data Analyst Apprenticeship

Data Analyst Apprentice

Data Analyst Apprentice Production - John Crane - Slough

Junior Data Analyst Apprenticeship

Degree Data Analyst Apprentice – 4-Year Program

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.