Lead Insight Analyst – Data & Forecasting

ITV plc; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

ITV plc in London is seeking a Lead Insight Analyst to shape KPI performance across the Central Insights team, using data science, analytics and multi-method research to inform leadership decisions.

You will work with Head of Central Insights and Senior Managers to build self-serve analytics tools, forecast M&E KPIs, and deliver data products across content, marketing, product and distribution.

Qualifications

• Vast experience in data industry, preferably with media/digital exposure.
• Knowledge of UK television industry, distribution channels and platforms.
• Proven track record using data to drive business value and direct-to-consumer relationships.
• Strong storytelling with data to inform commercial decisions.
• Ability to challenge assumptions and biases in analyses, models and outputs.

Responsibilities

• Lead insights across Central Insights to provide KPI performance view for the M&E board.
• Collaborate with cross-functional teams (content, marketing, product, distribution) to drive initiatives.
• Develop self-serve analytics tooling and data products to improve analytics capabilities.
• Forecast KPIs across streaming and broadcast, leveraging data science capabilities.
• Manage analyst workloads, deliver projects on time, and mentor junior staff.

Skills

Data industry experience

UK television knowledge

Data storytelling

SQL

Python

Data visualization tools

GCP/BigQuery

Forecasting

Machine learning basics

Cross-functional leadership

Education

Bachelor’s degree in a relevant field

Tools

ThoughtSpot

Data Studio

Google Analytics

BigQuery

Job description

ITV plc in London is seeking a Lead Insight Analyst to shape KPI performance across the Central Insights team, using data science, analytics and multi-method research to inform leadership decisions.

You will work with Head of Central Insights and Senior Managers to build self-serve analytics tools, forecast M&E KPIs, and deliver data products across content, marketing, product and distribution.