YouTube Data Analyst

YouTube Data Analyst

Full-Time 30000 - 30000 £ / year (est.) No working from home possible
Flight Story Group

At a Glance

  • Tasks: Analyse YouTube data to identify and recommend emerging guests for our podcast.
  • Company: Join Diary of a CEO, a dynamic media and investment company.
  • Benefits: Competitive salary, creative environment, and opportunities for growth.
  • Other info: Fast-paced team where your insights directly influence guest bookings.
  • Why this job: Dive deep into the YouTube world and shape exciting guest appearances.
  • Qualifications: Passion for YouTube, strong analytical skills, and a knack for research.

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

COMPANY: Diary of a CEO / FlightStory

REPORTING TO: Guest Booking Team

LOCATION: On-site London

SALARY: Up to £30,000 (Fixed Term Contract)

ABOUT FLIGHTSTORY

We are a media and investment company, and we are on a mission to elevate the stories, build the communities, and support the founders that inspire a happier, healthier humanity. We scale creator-led media, ventures and communities.

ROLE MISSION

Help us book world‑class guests by knowing the YouTube landscape better than anyone in the room. You will sit inside the DOAC guest booking team and use your deep knowledge of the YouTube and podcast world, combined with data from a suite of tools, to surface the right guests at the right time. You'll turn what you already know about creators, audiences and content trends into guest recommendations that give Diary of a CEO (DOAC) a genuine edge. On any given day you might be deep in YouTube Analytics tracking a guest's recent performance, building out a shortlist of emerging creators to bring to the team, or presenting your findings in a guest booking meeting. You'll work closely with the guest booking team who are responsible for bringing DOAC's guests to the show, and your insights will feed directly into decisions on potential guests.

KEY OUTCOMES

  • Monitor YouTube, podcast charts and social platforms continuously to identify emerging guests, rising creators and shifting audience interests in both the UK and US.
  • Use analytics tools to pull performance data on potential guests and present findings to the booking team in a clear, usable format.
  • Build and maintain a living knowledge base of who's who across the long‑form podcast and YouTube ecosystem; their audiences, their recent content, their trajectory.
  • Spot guests before they peak. Flag creators gaining momentum before they become obvious choices.
  • Provide data‑backed context for every guest recommendation including views, engagement, audience overlap and topic timing.
  • Support the broader pre‑production team with research, audience insight and competitor show analysis.

YOU'LL THRIVE HERE IF

YouTube is genuinely where you spend your time. You notice when a guest has a breakout episode. You track subscriber counts. You have opinions about why certain videos perform and others don't. You don't need years of formal experience. What matters is that you live and breathe this world. What sets you apart is genuine obsession with YouTube and the podcast landscape and the curiosity to turn that knowledge into something useful. You're comfortable working with data and analytics tools to find answers and present them clearly. You're organised, proactive and enjoy being part of a fast‑moving creative team. You find yourself asking:

  • Why did that episode blow up?
  • Who should DOAC have on before anyone else does?
  • Which guests are about to have a moment?
  • What does the DOAC audience actually want to watch next?

WHAT YOU'LL BRING

  • Genuine, demonstrable knowledge of the long‑form YouTube and podcast ecosystem across the UK and US
  • Comfort with YouTube Analytics and similar platforms
  • Really good at understanding and interpreting data
  • Strong research instincts and exceptional attention to detail
  • Clear written communication
  • Curiosity and initiative

YouTube Data Analyst employer: Flight Story Group

At FlightStory, we pride ourselves on being an innovative media and investment company that fosters a vibrant work culture in the heart of London. As a YouTube Data Analyst, you'll be part of a dynamic team dedicated to elevating stories and supporting creators, with ample opportunities for personal and professional growth. Our collaborative environment encourages creativity and curiosity, making it an ideal place for those passionate about the YouTube landscape to thrive.

Flight Story Group

Contact Details:

Flight Story Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land YouTube Data Analyst

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 Flight Story 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 YouTube Data Analyst at Flight Story 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 Flight Story Group.

Apply Directly through Our Website

When you find a suitable opening like YouTube Data Analyst at Flight Story 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 YouTube Data Analyst

YouTube Analytics
Data Analysis
Research Skills
Attention to Detail
Clear Written Communication
Understanding of YouTube Ecosystem
Knowledge of Podcast Landscape

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 Flight Story 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 Flight Story 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 Flight Story 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 Flight Story 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.