Workplace: White City, London - 3 days a week in the office.
The team
Global Data \& Insight
Our overall team vision is to deliver the best global intelligence from brilliant data sets to maximise revenue across Global Sales, Zoo 55, Brand Partnerships, Content \& Production. Our purpose is to translate our data into forward-looking, meaningful, action-led creative \& commercial recommendations to inform content, distribution \& monetisation strategies.
Zoo 55
Zoo 55 aims to be a leading force in digital entertainment on a global scale - taking more ITV Studios brands even further into digital including YouTube channels, social media and streaming platforms, building on the existing portfolio of 200 owned and operated channels on YouTube, 28 FAST channels across 40 territories and 300+ platform feeds globally. It will exploit more of the 90,000+ hours in the ITV Studios catalogue to see a number of new channels launching across AVOD and FAST, as well as creating environments for audiences to engage with its brands on immersive platforms like Roblox, Fortnite and Minecraft.
What content is working for us? Which content should we be adding? Which audience is most commercially attractive for us? How do we optimise our content to improve dwell time? What are our competitors doing? The answers to these questions and more will enable Zoo 55 to succeed in the future, and this role needs to enable decision makers to make them well.
The role
The ultimate purpose of this role and the team is to drive business growth - enabling stakeholders to make more effective decisions which drive greater business value.
Working within the Global Data \& Insights team, you will use your strong coding skills to develop and automate the data foundations for advanced analysis and insights. Your focus will be on defining metrics, establishing robust analytical methodologies, and prototyping automated, last-mile data products and solutions. By ensuring the highest quality, most accessible data, you will enable deeper analysis into key market trends, competitor activity, and digital viewer behavior, ultimately informing and maximizing the content strategy for this rapidly-growing division.
Main responsibilities
Core responsibilities are centered on delivering timely, impactful data, including developing regular performance reporting on all digital platforms (FAST, YouTube, etc.), and defining automated monitoring and alerting of competitor activity and market trends to proactively highlight commercial and creative opportunities for Zoo 55.
Design, develop, and maintain robust, scalable analytics to model accurate datasets, and automated last-mile solutions
Support the ingestion, transformation, and loading of data from diverse sources to further enrich our analytical datasets
Prototype innovative methods of enriching existing data products with additional data sources, such as web scraping, to drive deeper insights
Providing and maintaining clear documentation for all Zoo 55 data initiatives and requirements
Developing and maintaining automated solutions for regular reporting and insight decks on content performance across Zoo 55’s digital lines of business (YouTube, FAST/AVOD, Gaming)
Experiment with different forecasting methodologies to forecast business and content performance
Proof of concept analysis to support the implementation of new metrics or segmentation methodologies that ladder up to our KPIs
Oversee measurement and success criteria definitions for experimentation on video publishing \& optimisation
Communicating analytics and insight to business stakeholders in a non-technical, strategically-minded and impactful manner
Skills you’ll need (minimum criteria)
Solid experience of working in data or analytics, preferably with extensive media/digital exposure
Proven track record of using data to drive direct to consumer relationships and business value
Able to understand and challenge assumptions and biases in analytical output, methodologies, models, data sets and recommendations
Experience working with cloud-based platforms such as GCP (BigQuery) or equivalent
Understanding of data warehousing principles, dimensional modeling (star schema, snowflake schema) and ETL/ELT methodologies
Experienced in using Git for code management, version control and collaboration
Highly proficient in SQL or Python to conduct statistical analyses of large datasets and interact with APIs
Ability to design, build, and automate robust data pipelines to ingest, transform, and enrich existing analytical datasets
Demonstrate clear understanding of analytical techniques and experimentation methodologies
Experience working with data visualisation tools such as Tableau, Looker Studio or equivalent
Comfortable visualising and presenting analysis across a range of formats (reports, slides, dashboards, e-mail)
Other things we’re looking for (key criteria)
Solid communication skills with the ability to articulate compelling narratives with data
Keen problem solver who is able to demonstrate critical thinking
Ability to identify areas for improvement in existing data processes, taking initiative and being curious
Excellent attention to detail and proactive in preventing errors
Strong documentation skills for data requirements, schemas, and processes
Eagerness to learn new technologies, tools, and methodologies in a rapidly evolving field and share knowledge within the team
A passion for TV programmes and an interest in the wider media landscape