Content Partners Data Analyst

• 5+ years of experience in advertising measurement, analytics or insights within streaming, CTV, digital content, gaming or a closely related industry.
• Strong SQL skills: Able to independently query, join and analyse large behavioural and advertising datasets.
• Advertising measurement expertise: Experience with campaign performance, reach/frequency, attribution, incrementality, conversion and engagement metrics.
• Content-app experience: Strong understanding of streaming, broadcaster, FAST, gaming or other digital content businesses and their growth and engagement goals.
• Data visualisation skills: Hands-on experience with tools such as QuickSight, Tableau, Looker or Power BI and a strong eye for clear analytical storytelling.
• AI-enabled analytics: Comfort using tools such as Claude, Amazon Bedrock or similar LLM platforms to improve analytical productivity and insight generation.
• Excellent presentation skills: Confident explaining analysis and recommendations to both technical and non-technical internal and external stakeholders.
• Analytical curiosity: A genuine love of content, strong commercial judgement and the ability to turn data into actionable recommendations; Python is a plus.

• Competitive compensation
• Private health insurance
• Friendly, diverse, and international work environment
• Opportunity to work outside of your comfort zone and develop professionally in an exciting and fast-growing CTV industry.
• Change the future of TV! A unique opportunity to join a well-funded, high-growth company in the early stages to help shape a product/business that will impact millions.

We are looking for a Content Partners Data Analyst to analyse how advertising drives user acquisition, engagement and retention for streaming, CTV, gaming and other content-app brands.

This is a client-facing role combining strong SQL and data visualisation skills with deep knowledge of the content-app market. You will analyse advertising, audience and app-usage data, build clear measurement frameworks and dashboards, use AI tools to accelerate insight generation, and present actionable recommendations to clients and senior stakeholders.

• Measure Advertising Performance: Analyse campaign exposure and performance across CTV, streaming, gaming and other content-app environments.
• Connect Ads to Outcomes: Measure how campaigns influence app usage, acquisition, engagement, retention and re-engagement.
• Build Client Insights: Turn complex behavioural and advertising data into clear, commercially relevant stories and recommendations.
• Develop Measurement Frameworks: Define KPIs and repeatable approaches for reach, frequency, incrementality, conversion and engagement measurement.
• Create Dashboards & Reporting: Build scalable visualisations and reporting that make campaign and audience performance easy to understand.
• Use AI to Accelerate Analysis: Apply tools such as Claude to speed up exploration, QA, insight generation and reporting workflows.
• Present to Stakeholders: Lead analysis readouts and confidently present findings to clients, partners and senior internal teams.
• Understand the Content Market: Track CTV, streaming and gaming trends and translate market changes into better measurement and client recommendations.