Manager - Advanced Analytics & Insight

VIRGIN ATLANTIC LIMITED
Crawley
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Analyst

Google Analytics Data Analyst - Contract - 2-3 month contract

Data Analyst

Data Analyst - Farming Operations

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Job Details Salary: Competitive Hours: Full Time Location: Hybrid working -The VHQ Crawley Contract: Permanent Closing Date: 25th September 2024 In a nutshell Are you ready to lead the charge in turning data into actionable insights at Virgin Atlantic? As the Manager - Advanced Analytics & Insight, you will develop and implement analytical strategies that align with business objectives, collaborating closely with the Senior Manager - Advanced Analytics & Insight to ensure our data-driven initiatives are on course for success. In this key role, you will apply advanced statistical techniques to analyse data, generate insights, and ensure the use of the most effective tools and methodologies for various types of analysis. Your expertise will guide analysts across directorates, fostering collaboration and knowledge sharing that elevates our analytical capabilities. You will also work closely with technology and data engineering teams to ensure seamless data extraction and analysis, integrating new tools and systems as needed to keep our analytics on the cutting edge. Leading advanced analytical projects, you will present findings and recommendations that inform critical decisions, while also monitoring progress and providing ongoing training to enhance the skills of the directorate-specific analysts. If you are passionate about leveraging data to drive strategic decisions and ready to make a significant impact at Virgin Atlantic, this is your opportunity to lead and innovate in the world of advanced analytics. Day to day Support the development of the company's analytics strategy and lead the implementation of advanced analytics projects. Collaborate with cross-functional teams to identify and analyse business requirements. Develop and manage a team of analysts to deliver actionable insights and recommendations within each project. Drive the development and enhancement of data models, algorithms, and statistical techniques. Facilitate the seamless completion of analytics projects while offering guidance on effective approaches. Compete in the market by staying up to date with the latest advancements in analytics technologies and applied methodologies. About you Proven track record of successfully leading and implementing data analytics projects and driving business outcomes. Strong experience in data analytics, including data manipulation, visualisation, and statistical analysis. Exceptional leadership and communication skills to effectively collaborate with individuals at all levels of the organisation. Strict attention to detail and ability to manage multiple projects simultaneously. Bachelor's degree or equivalent experience in a relevant field, such as Information Technology, Data Science or Mathematics. Our recipe for leadership At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? Click here Be yourself Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, ( [email protected] ) feeling confident that we've got your individual considerations covered.

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.