Data Analyst Graduate

London Gatwick
Gatwick
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Training Course (Excel, SQL & Power BI)

Data Analyst Training Course (Excel, SQL & Power BI)

Business Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst Graduate Programme

£33,500 salary, £2,000 welcome bonus, £550 Flex allowance plus up to 10% bonus and benefits.


This position does not offer visa sponsorship.


Deadline for applications: Friday 21st November 2025. We encourage early applications, as we may close the application window ahead of the deadline if we receive a high volume of strong candidates.


Have you recently graduated in 2025 with a 2:1 (or projected for 2026) or above in a degree in maths, engineering, computer science, operational research or other analytical related subjects.


Where will your career take you?

The buzz, the energy, the sheer magic of travel… you can feel it in the air all around you. Here, you’ll be part of an energetic team and a vibrant community. We can help you thrive in a career that’s a world away from the everyday.


What is the role?

Working as a Data Analyst Graduate spending you first Year in Operations and second Year in Commercial. Supporting strategic decision making for all areas using data insights across commercial and operations projects across a variety of departments such as Airspace, Operations Planning and Retail.


Key responsibilities

  • Undertaking assessment involving data collection, data interpretation and data validation to enhance decision making
  • Data Analysis to identify trends, patterns and anomalies with delivery of, forecasts and reports
  • Data Visualisation & Reporting. Actively develop new models and processes to support decision making
  • Support the implementation and delivery of continuous improvement initiatives and capital projects to drive productivity and efficiency across operations, commercial and capital functions
  • Data Cleaning and Ownership
  • Working with the Business to drive Insight into Action
  • A development programme that builds on your commercial awareness, wider skills and development
  • Insights into Aviation and its impact and associated industries, including sustainability and commerciality

Do you have what we’re looking for?

  • Degree 2:1 or above in maths, engineering, computer science, operational research or other analytical related subjects (Achieved 2025 or predicted for 2026)
  • Strong coding skills e.g Python, SQL, Tableau, Databricks are desirable
  • Proficient in Excel skills
  • Strong communication skills to effectively communicate technical results to key stakeholders
  • Organisational skills; able to manage own workload to deliver against deadlines and targets
  • Commercial awareness; understands commercial impacts of operational processes
  • Logical problem solver

What’s in it for you?

We value our people and reward every employee fairly with a highly competitive package, enhanced by an:



  • annual bonus
  • share scheme
  • pension, and lifestyle insurance

There’s also plenty of opportunities for career progression, as well as training to support your personal and professional development.


What’s it like to work at London Gatwick?

At London Gatwick, our people are our biggest asset. We want our people to thrive and have the best experience while working with us. We know we’re all at our best when we feel comfortable and included.


We are an organisation that places diversity, equity and inclusion at its heart. Our aim is to create a place where everyone belongs and has a voice, and we recognise we all play an important role in our success.


Should you require any reasonable adjustments to be made as part of the application process please contact us directly.


Does this sound of interest to you?

Click apply to start your career with London Gatwick.


Selection process

  • An online application that will involve a CV – Deadline for applications: Friday 21st November 2025. We encourage early applications, as we may close the application window ahead of the deadline if we receive a high volume of strong candidates.
  • Online assessments to demonstrate your strengths and the values and behaviours to be successful
  • If successful a virtual 1st stage screening call
  • An assessment centre with group and individual activities as well as an interview with the opportunity to meet managers and teams here at London Gatwick. Dates to be confirmed for February 2026.

Should you require any reasonable adjustments to be made as part of the application process please contact us directly.



#J-18808-Ljbffr

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.