At a Glance
- Tasks: Lead data analysis for SAP transformation, focusing on data platform design and analytics.
- Company: MAG, the largest UK-owned airport operator, committed to sustainability and diversity.
- Benefits: Flexible working, bonus scheme, 25 days holiday, free parking, and company discounts.
- Other info: Diverse workplace with excellent career growth and support for all backgrounds.
- Why this job: Join a dynamic team shaping the future of airport data analytics and make a real impact.
- Qualifications: Experience with SAP Datasphere, data modelling, and strong analytical skills required.
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 is a 2 Year FTC position 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.
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 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.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst Python SQL in Manchester
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Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like MAG (Airports Group) before they're even advertised!
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We think you need these skills to ace Lead Data Analyst Python SQL in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at MAG (Airports Group), make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to MAG (Airports Group), emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab MAG (Airports Group)’s attention and show the tangible impact of your work.
How to prepare for a job interview at MAG (Airports Group)
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at MAG (Airports Group).
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at MAG (Airports Group).
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at MAG (Airports Group).
