Crew Analyst Supervisor

Jet2.com
Yeadon
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Optimisation

Job Description:

Jet2.com and Jet2holidays are always looking for great people to join our award-winning team of colleagues.

We’re looking to hire aCrew Analyst Supervisor to join our Crew Planning and Development Department, based at ourHead Office, Leeds Bradford Airport

Reporting to the Ops Resource Analytics Manager, our Crew Analyst Supervisor is a fantastic opportunity to support the advancement of our Operational Data capability in an expanding and critical area of our business. 
You will be responsible for leading our Crew Analysts in the delivery of a wide-ranging array of reporting and analysis. 


As our Crew Analyst Supervisor, you’ll have access to a wide range of benefits including:

  • Hybrid working
  • Colleague discounts on Jet2holidays and Jet2.com flights
  • Generous Discretionary Profit Share Scheme
  • Contributory pension scheme


At Jet2.com and Jet2holidays we’re working together to deliver an amazing journey, literally! We really drive forward a customer first ethos creating unforgettable package holidays and flights. We could not do it without our wonderful people.


What you’ll be doing:

  • Inspiring and guiding a high-performing team of crew analysts, fostering collaboration and a culture of excellence, by coaching team members to reach their full potential through mentorship and professional development.
  • Set the tone for accountability and success, ensuring the team consistently exceeds expectations. Working with the Ops Resource Analytics Manager to guarantee service delivery is at the heart of what we do.
  • Drive the adoption of new tools, technologies and techniques to enhance the capability of the team and oversee workload management to ensure the right information is available at the right time, and of the required quality to facilitate operations.
  • Dive into data to uncover insights, identify trends, and present compelling reports to leadership which driving decisions that realise strategic objectives and network with other areas of the business to ensure operational needs are met and data is presented. 


What you’ll have:

  • Exceptional communication and leadership skills, with the ability to influence and inspire at all levels. With a passion for leading teams, innovation and driving impactful results.
  • Good written and spoken communication and presentation skills, with excellent time management and the ability to work to deadlines.
  • Logical and methodical approach to work, with exceptional attention to detail and advanced knowledge of Microsoft Excel (and the wider Microsoft suite).
  • Experience of working with large data sets, the ability to produce statistical reports, experience of working in a planning/rostering environment and SQL/Python knowledge are all desirable but not essential.


Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight!

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 to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.