Graduate Data Analyst (f/m/x)

LGC Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Junior / Graduate Data Scientist

Graduate Data Scientist

Graduate Data Scientist - Cyber Analytics (Position located in Cheltenham, United Kingdom)

Data Scientist (KTP Associate)

Data Scientist Python SQL Mathematics

Data Scientist Graduate

Job Description

Are you an ambitious, analytical thinker with a passion for data and finance? Join LGC Group’s Analytics Centre of Excellence and kick-start your career with a role that blends data insights, financial analysis, and exposure to cutting-edge technology. At LGC Group, our mission is"Science for a Safer World"and as part of our team, you’ll contribute to this purpose by helping drive data-led decisions that make a meaningful impact across our organisation.

About the Role

As a Graduate Data Analyst, you will play a key role in our Analytics Centre of Excellence within the Corporate Finance department. This position offers a unique rotational experience, allowing you to gain insights across both finance and non-finance departments, while actively contributing to our analytics and reporting capabilities. You’ll support the team in collecting, analysing, and presenting data that drives business decisions, and will work towards a Level 4 CIMA qualification (over the course of 18 months) during your placement.

What You’ll Do

  • Collaborate Across Departments: Build meaningful relationships with key business areas and work as a trusted partner to understand and fulfil their data needs.
  • Deliver Insightful Analysis: Collect, clean, and analyse financial and operational data to uncover insights that inform strategic decisions.
  • Support Reporting and Visualisation: Develop Management Information (MI) reports and use data visualisation techniques to communicate findings clearly and effectively to stakeholders.
  • Enhance Data Engineering Efforts: Organise and manage data within the data warehouse, ensuring that data remains accurate, accessible, and secure.
  • Embrace Advanced Technology: Gain hands-on experience with industry-leading tools such as Tableau and Snowflake, while building skills in SQLPython, and data visualisation. These technical capabilities will complement your professional qualification and equip you to excel in the fast-evolving world of data-driven careers.

Why This Role is Right for You

  • Impactful Work: Be part of a high-demand team that directly supports key business decisions, helping shape the company’s future.
  • Exposure and Development: Experience a dynamic rotation programme across multiple departments, building a well-rounded understanding of both financial and non-financial analytics.
  • Professional Qualification: Work towards your Level 4 CIMA qualification, enhancing your skills and career prospects in finance and analytics.
  • Growth in a Supportive Environment: With mentorship, hands-on learning, and access to cutting-edge analytical tools, you’ll have the support needed to develop and refine your skillset.


Qualifications

What You’ll Bring

  • Education: A minimum of a 2:1 Bachelor’s degree in economics, finance, data science, or another relevant analytical discipline.
  • Academic Background: Strong proficiency in mathematics or economics, with an A-Level grade of 'A' or equivalent.
  • Analytical Skills: Strong problem-solving abilities with a talent for interpreting complex data sets.
  • Clear Communication: Excellent verbal and written skills, with the ability to present data in an accessible way for diverse audiences.
  • Attention to Detail: A meticulous approach to work, ensuring accuracy and precision.
  • Teamwork and Independence: Comfortable working both independently and as part of a collaborative team, building strong interpersonal relationships.
  • Adaptability and Flexibility: Eager to learn new skills and adjust to an evolving business environment.
  • Time Management: An ability to prioritise tasks and manage a dynamic workload in a fast-paced setting.

If you’re ready to launch your career in data and analytics, and want to be part of an innovative team where you can make a meaningful impact, we’d love to hear from you!



Additional Information

LGC Group Analytics is a centrally placed team, responsible for providing each business unit within the organisation with analytics support, driving analytics best practices and engagement with our analytics tools (Tableau and SAP Business Objects). As part of the Group Analytics team, this role has the exciting opportunity to learn and develop alongside other analytics colleagues, and help influence how LGC performs analytics.

Our Interview Process

We expect our process to take around six weeks and it will include:

  1. Introduction Screening Call with a Talent Acquisition Partner
  2. First Interview: Technical Assessment and a brief conversation with the team
  3. Final Interview: Case Study Presentation

-----------------

ABOUT LGC:

LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range.

OUR VALUES

  • PASSION
  • CURIOSITY
  • INTEGRITY
  • BRILLIANCE
  • RESPECT

EQUAL OPPORTUNITIES

LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership.

For more information about LGC, please visit our websitewww.lgcgroup.com

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.