At a Glance
- Tasks: Analyse data to drive insights and support business growth across partnerships.
- Company: Join IAG Loyalty, a leader in global loyalty currency with a vibrant culture.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional development.
- Why this job: Be part of a dynamic team shaping the future of data-driven decision-making.
- Qualifications: Experience in SQL, data analysis, and storytelling through visualisation.
- Other info: Fast-paced environment with a focus on collaboration and continuous learning.
The predicted salary is between 28800 - 43200 £ per year.
Who we are
We’re the people behind the global loyalty currency, Avios, and home to three ambitious, growing businesses; IAG Loyalty, British Airways Holidays and The Wine Flyer. Each business has its own goals and strategy, but collectively we create brilliant experiences for our global customers. We’re on a truly exciting journey of growth and transformation – we’re going places! This is where you come in.
The Opportunity ✨
You’ll be joining our Data Products team, working closely with teams aligned to value streams across the business. The team exists to drive success across the Commercial, Customer, Finance and Product domains, with a clear mission to make data accessible and usable in one place. By delivering powerful data solutions, we help optimise performance and enable better, faster decision‑making.
As a Data Analyst, you’ll collaborate with commercial, marketing and retail colleagues to deliver insightful analytics and impactful data products that support and grow our partnerships. This could include supporting new business development with data for the launch of a new partnership, working with partner managers to assess the impact of proposition changes with partners such as American Express, or identifying opportunities to increase conversion of our purchase Avios product on avios.com.
You’ll work with a wealth of data and help shape the future of how we use it, partnering with Data Product Owners and Tech Leads to ensure we meet or lead industry standards. As an individual contributor, you’ll play an active role within your team and the wider Analytics community, creating actionable insight and sharing it through clear storytelling and effective visualisation to drive the right decisions and support growth across our commercial partnerships and retail portfolio.
What you’ll be doing
You’ll be performing analysis on commercial and customer data using coding and a range of data analysis techniques to identify opportunities to strengthen our partnerships. You’ll develop reporting, data and analytical products, take on a variety of work to support stakeholder needs, and translate business requirements into high‑quality data solutions through strong collaboration with colleagues within the team and across multiple domains. You’ll communicate actionable insights clearly and simply to the wider commercial and marketing teams, and actively share learnings and best practice across the Data department.
What we’re looking for
- Experience taking a problem from ideation through to solution that supports business outcomes.
- Hands on with writing SQL queries for data analysis and reporting.
- Experience of analysing large datasets.
- Experience in telling stories with data, with the ability to create visualisation to bring it to life – we use Astrato, but experience with any data visualisation tool is great!
- An analytical mind, who is keen to solve problems and who focuses on progress to get things into our colleagues’ hands sooner.
- Worked with agility in mind, in an environment where you break work down and focus on delivering iteratively.
Nice to have: python or google analytics experience.
We might not be right for you if:
- You only want to focus on your to-do list; we’re a small, high‑performing team, we help each other to succeed.
- You value perfection over fast iteration and progress; IAG Loyalty moves fast, we learn and iterate as we go; our environment isn’t right for everyone.
- You’re looking to create but not build; this is an end‑to‑end role, you need to be comfortable owning your space, from ideation through to delivery and review.
If you think you have what it takes but don't meet every single point above, please do still apply. We’d love to chat and see if you could be a great fit.
Equity, Diversity and Inclusion at IAG Loyalty
Our vision, 'to create the world's most rewarding experiences,' applies not only to our customers but for our colleagues too. It’s about taking belonging seriously, actively fostering a culture where everyone feels welcomed and valued by embracing diverse identities, personal histories, and perspectives. This commitment makes IAG Loyalty a rewarding place to work and enhances our ability to solve complex problems, drive innovation, and better serve our customers and communities.
Please let us know if we can make any reasonable adjustments to support your interview process with us.
Data Analyst (12 month FTC) in London employer: IAG Loyalty
Contact Detail:
IAG Loyalty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (12 month FTC) in London
✨Tip Number 1
Get to know the company inside out! Research IAG Loyalty, British Airways Holidays, and The Wine Flyer. Understanding their goals and values will help you tailor your conversations and show that you're genuinely interested in being part of their exciting journey.
✨Tip Number 2
Practice your storytelling skills with data! Since you'll be delivering insights to various teams, make sure you can clearly communicate your findings. Use examples from your past experiences to demonstrate how you've turned data into actionable insights.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider knowledge about the team and the role, plus it shows your enthusiasm for joining their community.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about wanting to be part of the team. We can't wait to see what you bring to the table!
We think you need these skills to ace Data Analyst (12 month FTC) in London
Some tips for your application 🫡
Show Your Data Skills: When you're writing your application, make sure to highlight your experience with SQL and data analysis. We want to see how you've tackled problems using data in the past, so share specific examples that showcase your analytical prowess!
Tell a Story with Your Insights: Don't just list your skills; tell us how you've used them to create impactful insights. We love candidates who can turn data into compelling narratives, so include any experiences where you’ve communicated findings effectively to stakeholders.
Be Yourself: We value authenticity! Don’t be afraid to let your personality shine through in your application. Share what excites you about data analysis and why you think you'd be a great fit for our team at IAG Loyalty.
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our journey of growth and transformation!
How to prepare for a job interview at IAG Loyalty
✨Know Your Data Tools
Make sure you're familiar with SQL and any data visualisation tools, especially Astrato. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects to derive insights.
✨Tell a Compelling Story
Prepare to showcase your ability to tell stories with data. Think of examples where your analysis led to actionable insights and be ready to explain how you communicated these findings to stakeholders.
✨Emphasise Collaboration
Highlight your experience working in teams and how you've collaborated with different departments. Be prepared to discuss specific instances where your teamwork contributed to successful outcomes.
✨Show Your Agility
Demonstrate your ability to work in an agile environment. Share examples of how you've iterated on projects quickly and adapted to changing requirements, showcasing your problem-solving mindset.