Data Analyst Apprenticeship
PHILIPS ELECTRONICS UK LIMITED
Farnborough (GU14 6XW)
Closes in 30 days (Saturday 25 July 2026)
Posted on 25 June 2026
Contents
Summary
You will be supporting active and agile Project Management activity, enable Project Managers to act unhindered by administrative secondary tasks and to enhance and support efforts to improve KPIs and utilise data to ensure continuous improvement in all activities
- Wage
-
£17,500 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday - Friday, 9.00am - 5.15pm with 4.45 pm finish on Fridays.
37 hours a week
- Start date
-
Monday 7 September 2026
- Duration
-
1 year 6 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Aids in the management of a dedicated departmental support process which has an indirect impact on Philips’ med-tech products (e.g. audit processes within Finance) by collaborating with different stakeholders to ensure smooth operations, demonstrating great inter-personal and communication skills
- Supports the day-to-day activities of a dedicated department, typically involving strategic, operational and/or administrative tasks etc. to meet dynamic environment and continuous improvement goals, exercising autonomy within established procedures
- Conducts research on relevant topics and areas as requested by the manager/supervisor by investigating current trends, industry best practices and competitive landscape to provide comprehensive insights and support the strategic direction of ongoing projects and initiatives
- Analyse data related to departmental projects as requested by the manager/supervisor, identifying significant trends, patterns, and anomalies, and delivering actionable recommendations that drive data-informed decision-making
- Participates in team meetings, contributing innovative ideas and strategic input, while also capturing detailed minutes that accurately reflect discussions, decisions, and action items, ensuring effective communication and follow-up within the team
- Assists in preparation and presentation of reports or findings for internal and external stakeholders as required by manager/supervisor, ensuring that all findings are presented with utmost accuracy and clarity
- Organises and maintains departmental documentation and files by systematically categorizing and filing records, reports, and other essential documents to ensure they are easily accessible and retrievable, thereby enhancing the department's operational efficiency and compliance with regulatory requirements
- Maintains up to date knowledge of industry trends, developments, and best practices and learns technical skills related to industry, exhibiting a commercial and growth mindset
Where you'll work
Ascent 1 Aerospace Boulevard
Farnborough
GU14 6XW
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BALTIC TRAINING SERVICES LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
Your training will be delivered online from Baltic Apprenticeships every 6-8 week in 2 day block sessions
Requirements
Essential qualifications
GCSE in:
- English (grade 4/C)
- Maths (grade 4/C)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Analytical skills
- Logical
About this employer
At Philips, they're passionate about improving people's health and well-being through meaningful innovation. As a global leader in health technology, they use data, technology and human insight to help deliver better care for more people around the world. Philips aims to improve 2.5 billion lives annually by 2030, and data plays a vital role in helping us achieve that ambition.
Company benefits
- 25 days of Annual Leave + Bank Holidays
- Career development opportunities
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
- This apprenticeship will teach you essential data skills, including how to source, format and present data; data validation and analysis; and how to apply legal and ethical principles when gathering and manipulating business data
Ask a question
The contact for this apprenticeship is:
BALTIC TRAINING SERVICES LIMITED
The reference code for this apprenticeship is VAC2000039308.
Apply now
Closes in 30 days (Saturday 25 July 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.