Data & Insights Manager in London
hackajob London About the role
Based at London Stansted Airport, this is a permanent, full-time role with hybrid working options available and a competitive salary & benefits.
About MAG: At MAG, we provide the airport facilities and travel services that people need to connect with the world. As the largest UK owned airport operator, we serve over 60 million passengers a year from Manchester, London Stansted, and East Midlands Airports. With over 270 destinations across the globe, our businesses not only bring people together but also support the prosperity of the regions in which we operate. Sustainability is one of our core values, and it shapes everything we do. We're committed to protecting the environment and supporting our local communities through various programmes.
Benefits: At MAG, we recognise that creating a first-class journey for our customers starts by creating a first-class career journey for our colleagues. You’ll have access to some great benefits including:
- Bonus Scheme
- Flexible and generous company pension plan with various company contribution options (up to 8%)
- 24 days holiday plus bank holidays
- Free parking
- Subsidised public transport
- Huge range of company discounts
- 2 volunteering days per year
- Free VirtualGP service, available 24 hours a day, 7 days a week
- Care Concierge service
About The Role: Join Stansted Airport’s Data & Insight Team and help drive a truly data-led culture across the organisation. In this senior role, you’ll shape how the airport uses data to improve customer experience, enhance operational performance and support strategic decision making. As a data SME, you’ll partner with departments across the airport to build reliable, insightful data products and deliver high-quality analytics that uncover trends, solve operational challenges and demonstrate the value of data-driven decisions.
Key Responsibilities:
- Act as a senior team member, deputising for the Head of Data & Insight, providing thought leadership and supporting Performance Analysts.
- Deliver accurate, actionable insights from multiple data sources; lead deep-dive analysis into performance and system issues; manage delivery of key data outputs.
- Support operational performance reviews with clear reporting and insight, ensuring consistent standards and trusted data across the airport.
- Work closely with Operations, Finance, MAG Technology and the Data and Strategic Analytics (DASA) teams to streamline data, automate reporting and validate new systems.
- Ensure data accuracy, consistency and reliability, championing a single source of truth and identifying opportunities for automation and process improvement.
What Will Make You Successful: You’ll bring proven experience in senior data, analytics or insight roles, with strong numerical and problem-solving skills and the ability to turn complex data into clear, compelling stories for stakeholders including the Senior Leadership team. Your technical capability spans advanced Power BI development, SQL expertise and working with large datasets in modern cloud environments. You build trusted relationships across Technology and business teams, communicate with influence, and thrive in a collaborative, fast-changing operational setting. A passion for data, continuous learning and sharing best practice will help you shape and elevate the airport’s data-driven culture.
Equal Opportunities & Reasonable Adjustments: We’re building something brilliant at MAG: a diverse team of Journey Makers who share our values and want to make a difference. We’re on a mission to be number one in our industry, and that takes talent in all its forms. With so many exciting roles across our airports and businesses, there’s space for your unique strengths to shine. Whether this is your first role or your next big step, we want to hear from you – even if you don’t think you tick every box. What matters most is what you bring. We’re proud to be a Disability Confident employer. If you need any adjustments to support your application or interview, just let us know. We’re committed to helping you perform at your best.
At MAG, every journey matters. Our Colleague Communities play a big part in that: Women’s Network, Embrace (Race & Ethnicity), Fly with Pride (LGBTQIA+), Mind Matters (Mental Health), PACT (Parents & Carers), RespectABILITY (Disability & Neurodiversity), and the CAVU Global ID&E Affinity Group.
Your tasks
Drive a data-led culture and improve customer experience at Stansted Airport.
Your profile
Experience in data roles, strong analytical skills, and proficiency in Power BI and SQL.
What's also included
Competitive salary, bonus scheme, flexible pension, 24 days holiday, and more.
Tech stack & ways of working
Data & Insights Manager in London employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
Your perspectives
Shape the future of airport operations through impactful data insights.
StudySmarter Expert Advice
Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like hackajob!
Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & Insights Manager at hackajob.
Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like hackajob.
Apply Directly through Our Website
When you find a suitable opening like Data & Insights Manager at hackajob, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects
In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements
Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter
For a full-time role at hackajob, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications
Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at hackajob. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at hackajob
Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at hackajob!
Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
Locations
- London
