At a Glance
- Tasks: Analyse TV market data and contribute to strategic insights for exciting projects.
- Company: Brave Bison, a dynamic company passionate about media and data.
- Benefits: Flexible remote work, mentorship from experts, and opportunities for growth.
- Other info: Collaborative environment with a focus on learning and development.
- Why this job: Dive into the world of TV and data while shaping industry insights.
- Qualifications: Curiosity about TV and data analysis skills are essential.
The predicted salary is between 29700 - 36300 £ per year.
Brave Bison's MTM division is seeking a curious Analyst who loves TV and data to help shape insights on the UK TV market.
You will work on 3 Reasons and broader strategy projects, learning from a Senior Consultant while developing deep domain knowledge.
You’ll split time between data analysis, model updates and reporting, with a structured six-month cycle leading to each publication.
London-based with in-office presence three days a week.
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TV Market Data Analyst — Remote | Growth & Reports in Camden Town employer: Brave Bison
Brave Bison is an exceptional employer that champions a vibrant and inclusive work culture, offering a dynamic environment where creativity thrives. With a commitment to employee well-being, the company provides an attractive benefits package, including flexible working arrangements, private medical insurance, and generous annual leave, all while fostering professional growth through continuous learning opportunities. Located in a forward-thinking digital landscape, employees are empowered to navigate the complexities of modern marketing alongside some of the boldest brands in the world.
StudySmarter Expert Advice🤫
We think this is how you could land TV Market Data Analyst — Remote | Growth & Reports in Camden Town
✨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 Brave Bison.
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We think you need these skills to ace TV Market Data Analyst — Remote | Growth & Reports in Camden Town
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 Brave Bison, 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 Brave Bison. 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 Brave Bison
✨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!
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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 Brave Bison!
✨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.
