At a Glance
- Tasks: Transform audience data into compelling stories for a leading streaming platform.
- Company: Join a global streaming giant with iconic entertainment brands.
- Benefits: Competitive salary, flexible work schedule, and a vibrant team culture.
- Other info: Dynamic insights team with opportunities for professional development.
- Why this job: Be at the forefront of ad sales growth and make a real impact.
- Qualifications: Experience with BARB and TechEdge, plus strong communication skills.
The predicted salary is between 59000 - 59000 £ per year.
London | 4 days a week on site | Up to £59,000 | Permanent
Why Join?
You'll get to join a 15+ person insights team that takes commercial storytelling seriously, and be the person who turns audience data into the reason a brand books with one of the biggest streaming platforms in the world.
About the Company
Our client is a global streaming giant, home to some of the most iconic entertainment brands on the planet. They launched a new product, and it's growing fast. This role sits at the heart of that growth, supporting the UK Ad Sales team with the data and insight they need to win big.
The Day-to-Day
- Use BARB and TechEdge daily: scorecards, competitor context, nickable charts, regular reporting.
- Translate syndicated data (TGI, GWI, AudienceProject) into audience stories advertisers actually want to hear.
- Work alongside sales teams to build bespoke responses for individual clients and category briefs.
- Support 3rd-party campaign effectiveness studies and primary research programmes.
- Stay close to industry measurement trends, and bring that knowledge into the room.
The Ideal Candidate
You're probably in a media owner, broadcaster, or commercial research environment right now. You know BARB inside out. You use TechEdge regularly. And you understand that your job isn't just to produce analysis, it's to help someone sell.
You'll be a strong fit if you:
- Have hands-on BARB experience and working knowledge of TechEdge (non-negotiable).
- Can cross-tab TGI or GWI and extract a compelling insight, not just a number.
- Are comfortable presenting to senior stakeholders at agencies or advertisers.
- Understand what makes a good ad campaign, and why that matters for this role.
- Have the communication skills to back up your data fluency.
This probably isn't for you if your background is editorial research, academic research, or pure marketing without measurement depth.
Senior Research Analyst: UK Ad Sales in Slough employer: Nicholson Glover
Join a dynamic and innovative team at one of the world's leading streaming platforms, where your insights will directly influence advertising strategies for iconic brands. With a strong emphasis on collaboration and professional development, you'll thrive in a vibrant work culture that values creativity and data-driven decision-making. Located in London, this role offers the unique opportunity to be at the forefront of a rapidly growing product, all while enjoying a flexible four-day work week.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Analyst: UK Ad Sales in Slough
✨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 Nicholson Glover.
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We think you need these skills to ace Senior Research Analyst: UK Ad Sales in Slough
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 Nicholson Glover, 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 Nicholson Glover. 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 Nicholson Glover
✨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 Nicholson Glover!
✨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.
