Data Analyst Apprentice (NBC Universal)

NBC Universal Limited

London (WC2H 8NU)

Closes on Monday 22 September 2025

Posted on 12 August 2025


Summary

An exciting opportunity to join NBC as a Data Analyst Apprentice. This is a fantastic opportunity to gain invaluable skills, earn a competitive salary, and achieve a nationally recognised Level 4 Data Analyst qualification.

Training course
Data analyst (level 4)
Hours
Monday to Friday. Shifts to be confirmed.

37 hours 30 minutes a week

Start date

Monday 10 November 2025

Duration

2 years

Positions available

2

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

Are you passionate about data and eager to kickstart your career in a dynamic and fast-paced environment?

Do you thrive on solving problems and making a real impact?

We are looking for enthusiastic and motivated Apprentice Data Analysts to join our innovative data and technology teams across Universal Filmed Entertainment and Studio Group!

This apprenticeship is specifically designed for individuals who are keen to develop their knowledge and understanding of key data concepts and techniques that help organisations make informed decisions.

We understand that higher education isn't for everyone, so we're looking for candidates with raw potential and a genuine passion for data!

Our 18-month L4 Applied Data & AI Specialist (Data Analyst) Apprenticeship Programme, delivered in partnership with BPP, will empower you to excel in the world of data analytics. You will gain a deep understanding of how data integration drives the application of statistics and advanced modelling techniques, enabling better data-driven predictions. This program places a strong emphasis on data storytelling, reinforcing concepts in the context of impactful data visualisation and AI tools to collect, enrich, process and forecast data. Developing core data analyst competencies, we help you build more strategic and specialised skillset by focusing on data strategy, economic impact of AI solutions and the responsible use of AI tools.

What You'll Learn and Do:

Throughout your apprenticeship, you will develop a comprehensive skill set, including:

Data Analysis & Insights:

Carry out large-scale data analytics across quantitative and qualitative data to provide concise business insights

Data Visualisation & Reporting:

Develop skills in data visualisation to produce clear, concise reports and dashboards for cross-functional teams, translating data findings into practical recommendations

Data Extraction & Manipulation:

  • Become proficient in extracting, joining, and manipulating data using SQL
  • You'll also learn advanced data joins and SQL data extraction techniques

Data Ethics & Governance:

Understand and apply ethical considerations to data collection and usage

Data Architecture:

Gain insights into data architecture and industry best practices

Collaboration & Communication:

  • Work collaboratively with technical engineering, product, and business engagement teams to drive forward the data development roadmap
  • You'll also enhance your ability to communicate data findings clearly to colleagues with varying levels of data expertise

GCP Certification Opportunity:

You’ll have the opportunity to take Google certified training and exams for professional certifications

Hands-on Business Exposure:

As your skills develop, we’ll provide you with opportunities to dive in with teams and gain practical, hands-on experience

Where you'll work

Central St. Giles
St. Giles High Street
London
WC2H 8NU

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

BPP PROFESSIONAL EDUCATION 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

Data Analyst Level 4 (Higher national certificate) Apprenticeship Standard

More training information

  • BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace
  • Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience

Requirements

Essential qualifications

GCSE in:

5 GCSE's including English Language and Maths (grade (A*-C/9-4 or equivalent))

Other in:

Relevant subject (ideally STEM/Digital subjects). (grade Level 2 Qualification)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Initiative
  • Strong desire to develop
  • Confidence with numbers
  • Collaborating effectively
  • Proactive
  • Demonstrate resilience
  • Passion for movies

Other requirements

A passing score on a BKSB assessment.

About this employer

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

After this apprenticeship

  • Potential for a full time role on completion

Ask a question

The contact for this apprenticeship is:

BPP PROFESSIONAL EDUCATION LIMITED

Raymond Duke

RaymondDuke@bpp.com

01133500333

The reference code for this apprenticeship is VAC1000336655.

Apply now

Closes on Monday 22 September 2025

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