Hybrid YouTube Data Insights Analyst in London

Hybrid YouTube Data Insights Analyst in London

London Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse YouTube performance metrics and deliver insights to shape content decisions.
  • Company: Join the dynamic team at LADbible Group, a leader in digital media.
  • Benefits: Enjoy blended working, with 3 days in the office and flexible hours.
  • Other info: Be part of a growing team in a fast-paced, creative environment.
  • Why this job: Make an impact on Originals commissioning while working with data you love.
  • Qualifications: Proven analytics experience, especially with YouTube tools like BigQuery and Looker Studio.

The predicted salary is between 30000 - 40000 £ per year.

LADbible Group is looking for a Data Analyst to join their growing YouTube team. The role focuses on delivering insights that will influence decisions around the Originals commissioning pipeline.

Key responsibilities include:

  • Analysing channel performance metrics
  • Managing live reporting dashboards
  • Conducting market intelligence

Candidates should have proven analytics experience, especially with YouTube metrics and tools like BigQuery and Looker Studio. The position offers blended working, with 3 days in the office.

Hybrid YouTube Data Insights Analyst in London employer: LADbible Group

LADbible Group is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about data and digital media. With a focus on employee growth, the company offers opportunities to develop analytical skills in a collaborative environment, while the hybrid working model ensures a healthy work-life balance. Located in a vibrant area, employees benefit from a creative atmosphere that encourages fresh ideas and impactful contributions to the Originals commissioning pipeline.

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Contact Details:

LADbible Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid YouTube Data Insights Analyst 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 LADbible Group!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid YouTube Data Insights Analyst at LADbible Group.

Leverage Professional Networks

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 LADbible Group.

Apply Directly through Our Website

When you find a suitable opening like Hybrid YouTube Data Insights Analyst at LADbible Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid YouTube Data Insights Analyst in London

Data Analysis
YouTube Metrics
BigQuery
Looker Studio
Analytical Skills
Market Intelligence
Dashboard Management

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 LADbible Group, 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 LADbible Group. 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 LADbible Group

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 LADbible Group!

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.