At a Glance
- Tasks: Oversee technical implementation of CRM campaigns and drive personalised marketing strategies.
- Company: Global media and technology company with a focus on innovation.
- Benefits: Competitive benefits, well-being initiatives, and hybrid working model.
- Other info: Collaborative environment with opportunities for growth and development.
- Why this job: Join a dynamic team and make an impact in personalised marketing.
- Qualifications: Advanced knowledge of CRM systems and experience in automated communications.
The predicted salary is between 50000 - 65000 £ per year.
A global media and technology company is seeking a CRM Technical Executive to oversee the technical implementation of CRM campaigns, leveraging Braze and data analysis to drive personalized marketing strategies. The ideal candidate will have advanced knowledge of CRM systems, experience in automated communications, and the ability to collaborate across teams.
You'll enjoy competitive benefits, well-being initiatives, and a hybrid working model, making this an exciting opportunity.
CRM Personalisation Engineer (Braze & Data Pipelines) in Cardiff employer: Igbaffiliate
Spotlight Sports Group is an exceptional employer that fosters a dynamic and collaborative work culture, where creativity and innovation are at the forefront of our operations. As the Head of Visual Editorial & Data Storytelling, you will have access to extensive growth opportunities, working alongside talented professionals in a vibrant environment that values your contributions. Located in a thriving hub for media and technology, we offer unique advantages such as flexible working arrangements and a commitment to professional development, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Personalisation Engineer (Braze & Data Pipelines) in Cardiff
✨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 Igbaffiliate!
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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 Igbaffiliate.
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We think you need these skills to ace CRM Personalisation Engineer (Braze & Data Pipelines) in Cardiff
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 Igbaffiliate, 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 Igbaffiliate. 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 Igbaffiliate
✨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 Igbaffiliate!
✨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.
