At a Glance
- Tasks: Analyse customer data to enhance CRM strategies and drive marketing performance.
- Company: Join IAG Loyalty, a leader in customer analytics and loyalty programmes.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic and innovative environment.
- Why this job: Make a real impact by transforming data into actionable insights for customer engagement.
- Qualifications: Experience in CRM analytics and a passion for data-driven decision making.
The predicted salary is between 46085 - 56327 £ per year.
IAG Loyalty is seeking a Customer Analytics & CRM Specialist to shape the performance of our B2C retail proposition.
You will work with Avios, Loyalty and Holidays teams to optimise CRM, segmentation and lifecycle marketing across Email, SMS and Push.
Based in London with a hybrid blend, you will partner with Trading, Product, Engineering and Data teams to turn complex data into clear commercial actions and opportunities for growth.
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CRM Data & Insights Analyst – London Hybrid employer: IAG Loyalty
IAG Loyalty is an exceptional employer, offering a dynamic work environment in Crawley where innovation and collaboration thrive. With a strong commitment to employee growth, we provide ample opportunities for professional development and leadership training, ensuring that our team members can shape their careers while contributing to a diverse holiday portfolio. Our inclusive culture fosters creativity and teamwork, making IAG Loyalty a rewarding place to work for those seeking meaningful impact in the travel industry.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Data & Insights Analyst – London Hybrid
✨Get Involved in Data Science Meetups
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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 IAG Loyalty.
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We think you need these skills to ace CRM Data & Insights Analyst – London Hybrid
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 IAG Loyalty, 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 IAG Loyalty. 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 IAG Loyalty
✨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 IAG Loyalty!
✨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.
