Manager, Media Analytics

About Us

Shark Ninjais a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positivelyimpactpeople’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track recordof bringing disruptive innovation to market and developing one consumer product after another has allowed

Shark

Ninjato enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than4,100associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

At Shark Ninja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in.

Shark Ninja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed Shark Ninja to enter multiple product categories, driving significant growth and market share gains.

Headquartered in Needham, Massachusetts with more than 3,300+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world.

We don't just make products. We identify and solve customer problems, some that customers don't even know they have. We tell that story via social, digital, broadcast, print, and retail media across organic, paid, influencer, and earned channels.

We're seeking a Manager, Media Analytics to lead predictive measurement of our media investments across channels—building forward-looking models that anticipate performance, uncover insights, and fuel smarter, faster decisions.

This role will join a growing Global Marketing Analytics Team, transforming data into clear actions that optimize marketing performance and guide media, social, and creative strategies. The ideal candidate will thrive in Shark Ninja's fast-moving culture — balancing rigor with pragmatism and using predictive data not only to measure performance but to influence decisions and spark the next opportunity.

This role is based in London, UK and sits within our EMEA Marketing Analytics team, with primary responsibility for the UK market. While primarily supporting the UK, the role also provides analytical support to the Nordics and other emerging European markets as needed.

• Predictive Modelling: Build and maintain predictive and forecasting models—spanning MMM, attribution, and incrementality to anticipate media performance and guide allocation decisions before results are final.
• KPI Measurement: Own the metrics that matter, ensuring media activity is measured against clear goals and forecasted with increasing precision over time, and that agency partners are held accountable against these benchmarks through robust governance and performance management.
• Cross-Channel Optimization: Partner with internal teams and agencies to pivot strategies based on real-time insights and forward-looking model outputs.
• Audience and Creative Effectiveness: Partner with internal teams and agencies to analyse audience and creative effectiveness across Shark Ninja's product categories, leading with data-informed insights.
• Brand & Talent Evaluation: Monitor and report out on brand health and ambassador performance by analysing consumer sentiment data, ensuring celebrity investments align with Shark Ninja's brand identity and drive measurable advertising lift.
• Signal Detection: Proactively identify signals, anomalies, or emerging patterns in media and market data to flag risks or opportunities before…