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Data Analyst Apprentice

Job in Slough, Berkshire, SL1, England, UK
Listing for: Smiths Group
Full Time, Apprenticeship/Internship position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below

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

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