At a Glance
- Tasks: Lead commercial trading for broadband, driving growth and maximising customer value.
- Company: Join Giffgaff, a dynamic company focused on innovation and customer satisfaction.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Other info: Collaborate with diverse teams to drive insights and improve customer experiences.
- Why this job: Make a real impact in a fast-paced environment while utilising your data skills.
- Qualifications: Strong knowledge of broadband journeys and experience in data-driven environments.
The predicted salary is between 50000 - 60000 £ per year.
Giffgaff is seeking a Broadband & FMC Trading Manager who will own end-to-end commercial trading across broadband, driving growth, improving install outcomes and maximising customer value to meet targets. You will lead the weekly trading cadence, translate data into actionable insights, and collaborate with Data, BI, Commercial and Operations teams.
This role requires strong knowledge of broadband journeys, FMC propositions, advanced data visualization, and experience in fast-paced, data-driven environments.
Broadband & FMC Trading Lead: Growth, Insights & Execution in Uxbridge employer: Giffgaff
Giffgaff is an excellent employer that fosters a collaborative and innovative work culture, particularly in the role of Remote Backend Engineer. With a focus on diversity and continuous delivery, employees benefit from flexible hybrid or remote work options, competitive salaries, and ample opportunities for professional growth in both backend and frontend technologies. Located in Uxbridge, Giffgaff's commitment to pair programming ensures that team members are supported and empowered to excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Broadband & FMC Trading Lead: Growth, Insights & Execution in Uxbridge
✨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 Giffgaff!
✨Show Off Your Projects
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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 Giffgaff.
✨Apply Directly through Our Website
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We think you need these skills to ace Broadband & FMC Trading Lead: Growth, Insights & Execution in Uxbridge
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 Giffgaff, 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 Giffgaff. 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 Giffgaff
✨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 Giffgaff!
✨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.
