At a Glance
- Tasks: Lead the development of advanced analytics and statistical modeling in the Audiences & Data portfolio.
- Company: CNN is a leading news organisation known for its innovative approach to data-driven insights.
- Benefits: Offers a hybrid working model, allowing flexibility between remote and office work.
- Other info: The position is classified as senior, indicating a high level of responsibility.
- Why this job: This role provides an opportunity to influence key decisions through robust analytics.
- Qualifications: Requires expertise in regression and multivariate techniques for advanced analytics.
The predicted salary is between 60000 - 80000 £ per year.
CNN is seeking an Advanced Analytics Lead to spearhead the development of advanced analytics and statistical modeling in the Audiences & Data portfolio. This senior role demands a hands-on approach and expertise in regression and multivariate techniques. The successful candidate will partner with various teams to deliver insights that are robust and commercially applicable. A hybrid working model is offered, combining remote and office work.
Senior Analytics Lead: Perception & Influence Modeling in London employer: CNN
CNN, located in Atlanta, offers a hybrid working model and values innovation in analytics. Join a team dedicated to delivering commercially applicable insights that shape audience engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Lead: Perception & Influence Modeling in London
✨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 CNN!
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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 CNN.
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We think you need these skills to ace Senior Analytics Lead: Perception & Influence Modeling in London
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 CNN, 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 CNN. 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 CNN
✨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 CNN!
✨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.
