At a Glance
- Tasks: Lead data analysis for SAP transformation at Manchester Airport, shaping the future of data management.
- Company: MAG, the largest UK-owned airport operator, committed to sustainability and diversity.
- Benefits: Flexible working, bonus scheme, 25 days holiday, free parking, and a range of discounts.
- Other info: Diverse workplace with opportunities for personal growth and community involvement.
- Why this job: Join a dynamic team and make a real impact on data-driven decision-making in aviation.
- Qualifications: Experience with SAP Datasphere, data modelling, and strong communication skills.
The predicted salary is between 50000 - 65000 £ per year.
hackajob is collaborating with MAG (Airports Group) to connect them with exceptional professionals for this role. Based at Manchester Airport, this position is a 2 Year FTC with flexible/hybrid working for a better work/life balance.
We are proud to be a diverse employer, and we welcome candidates from all backgrounds.
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 decarbonisation, education, skills development, and volunteering initiatives.
You’ll also have access to some great benefits including:
- Bonus Scheme
- 10% company contribution pension
- 25 days holiday plus bank holidays
- Free parking
- Subsidised public transport
- Huge range of company discounts
- Free Virtual GP service, available 24/7
- Care Concierge service
- Two volunteering days per year
The role involves joining our Finance Transformation Programme as we replace our BW/BPC landscape with SAP Datasphere and Business Data Cloud (BDC) with SAC as the reporting and planning layer, as part of our S/4HANA transformation. This role is offered as a two-year fixed term contract, running from greenfield platform design in Explore phase through to post go-live stabilisation. You’ll form a two-person analytics team alongside our SAC/planning resource, focusing on the data platform layer. There is no BW migration; everything is built from scratch, making early design decisions critical.
You must be proficient with SAP Datasphere; space design, data flows, replication flows, and semantic modelling. You’ll also be charged with developing the standards, documentation, and approach to gathering data requirements. A significant part of the role is about ensuring we get requirements right and produce reports, while also moving from basic reporting delivery to drawing insights and running analytics to drive business intelligence and decision making.
What will make you successful in the role?
- Exposure to SAP Business Data Cloud (BDC) and its integration architecture
- SAP Datasphere experience - data flows, replication flows, semantic modelling
- Greenfield platform design experience - building from scratch, not migrating
- Strong data modelling - fact/dimension design, semantic layers, governance
- Ability to articulate data architecture clearly to Finance and business stakeholders
- Ability to review and challenge SI technical designs for long-term supportability
- Working knowledge of SAC as a consumption layer
- Good understanding of Data Governance and how to implement within projects
- Can design complex low-level design documentation for Data, BI and Cloud solutions
- Familiarity with S/4HANA Finance data structures - Universal Journal, cost centre/profit centre
- Experience in a RISE with SAP / clean core environment
- Knowledge of non-SAP data integration into Datasphere
- SAP certification in Datasphere or BW/4HANA
- Awareness of Joule and embedded AI capabilities within BDC
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.
Lead Data Analyst in Manchester employer: MAG
MAG is an exceptional employer that prioritises the well-being and professional growth of its employees, offering a competitive salary, hybrid working options, and generous annual leave. With a strong commitment to diversity, equality, and inclusion, MAG fosters a supportive work culture where employees can thrive while contributing to meaningful humanitarian efforts. As a Regional Finance Manager, you will not only play a crucial role in financial management but also benefit from ongoing training and development opportunities, ensuring your skills and career progress in alignment with our mission to save lives and promote sustainable development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst in Manchester
✨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 MAG!
✨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 Lead Data Analyst at MAG.
✨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 MAG.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Analyst at MAG, 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!
We think you need these skills to ace Lead Data Analyst in Manchester
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 MAG, 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 MAG. 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 MAG
✨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 MAG!
✨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.
