At a Glance
- Tasks: Curate and interpret audience insights using our innovative platform.
- Company: Join Fifty, a fast-growing data analytics and ad-tech scale-up in London.
- Benefits: Enjoy 25 annual leave days, competitive salary, and a collaborative culture.
- Other info: Great opportunity for growth and to shape the future of Fifty.
- Why this job: Be at the heart of operations, making impactful insights for diverse clients.
- Qualifications: Analytical mindset, passion for human behaviour, and strong communication skills.
The predicted salary is between 30000 - 40000 £ per year.
Our Mission: Activating audience insight through unrivalled human understanding, media execution strategies and sustainable technologies.
Our Company: We are Fifty - the human-first approach to marketing. Fifty is a rapidly growing, data analytics & ad‑tech scale‑up based in London with customers across Europe, Australia and North America. Our pioneering technology is a powerful telescope into human understanding, turning billions of disparate audience data points into vibrant and easy‑to‑understand insights. It’s complex data, made actionable for everyone. Unique to Fifty, we join the technologies of audience intelligence and media buying together digitally within our platform. We celebrate innovative ways of thinking and have an open, collaborative culture, welcoming ideas from everyone.
Your Role: You will predominantly assist the insight and sales teams day‑to‑day with the setup, running and interpreting of the Fifty data. Working with a vast range of clients, you will become a key member of the Fifty team, sitting at the heart of operations, engaging with every aspect of what we do. As part of a small team there is a great opportunity to grow and gain more responsibility within this role.
Your Responsibilities:
- The curation and interpretation of insight for clients, using the Fifty platform
- Understanding the Fifty platform, aiming to maximise its value and output both internally and externally
- Supporting the Insights Manager
- Assisting the sales team, responding to briefs and helping create compelling narratives for pitching
- Assisting the client team, tackling challenges amongst our client base
- Supporting clients with their needs surrounding the Fifty platform
- Supporting the Marketing team, using the Fifty platform to create interesting content
Your Essential Skills:
- Analytical
- Passionate about human behaviour and audience insight
- Interested in AI and has used AI tools before, personally or professionally
- Interested in culture and trends
- Excited by technology
- Comfortable in a client‑facing role
- Works well under pressure, meeting regular deadlines
- Works well individually and in a team
- Excellent written and verbal communication skills
- Ability to learn quickly
- Willing to get involved and help shape the future of Fifty
Your Extras:
- Prior experience in the digital media industry
- Prior experience with Audience Insights & Research
- Strong understanding of social media
- Great feel for culture and well-informed on current trends within various industries
Our Benefits: 25 annual leave days +
Audience Insight Executive in London employer: Fifty Technology
Fifty Technology is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, particularly in the vibrant UK market. Our commitment to meaningful work in government programs ensures that you will be part of impactful projects that shape the future of media strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Audience Insight Executive in London
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We think you need these skills to ace Audience Insight Executive 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!
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Craft a Tailored Cover Letter:For a full-time role at Fifty Technology, 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 Fifty Technology. 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 Fifty Technology
✨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 Fifty Technology!
✨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.