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ITV is seeking a Lead Insight Analyst in the Central Insights team at White City, London. The role combines research, analytics and data science to shape market understanding and informs leadership decisions within ITV Media & Entertainment.
You will work with Head of Central Insights and Senior Managers to curate data insights, build self-serve tools, and forecast KPI performance across content, marketing, product and distribution.
Workplace: White City, London – Hybrid
Contract Type: Permanent
As a member of the Central Insights Team, you will be part of shaping our understanding of key market trends and the competitor landscape, as well as developing a deep understanding of our own viewers and their behaviours. This role will work closely with cross functional teams to identify and address key strategic decisions and work together to design multi methodology techniques – using research, analytics and data science.As the Lead Insight Analyst, you will be exposed to the full spectrum of ITV’s data capabilities, leveraging 1st and 3rd party data assets, along with business understanding, to generate the insights that the leadership team needs to make decisions that drive the desired outcomes for the ITV Media & Entertainment business.
As the Lead Insight Analyst for Central Insights, you will be working closely with the Head of Central Insights and Senior Insights Managers to curate data insight and innovation for the Central Insights team. Central Insights’ remit is to provide the M&E board with a holistic view of KPI performance in relation to the objectives and key results framework and measures of success within the business domains. Central Insights also plays a key part in the development of self-serve tooling, providing structured and reliable access to data across the organisation.
You will work cross-functionally with Lead Analysts in the other insight teams to understand key metric drivers across the business pillars of content, marketing, product and distribution.
The Central Insights team is also responsible for the Forecasting of all M&E KPIs, including streaming and broadcast performance, which leverages capabilities across insight, analytics and data science.
Key deliverables in the year will include: working with Data Science to productionise forecasting models and iterate new features; working with Head of Analytics and Lead Analytics Developer to build new analytics data products to improve analytics capabilities; taking advantage of new tools and data sets coming online this year; delivering initial proof of concepts for new initiatives.
Example initiatives could include (and not limited to):