Manager, Media Analytics
SharkNinjaAbout the role
About Us
SharkNinja 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 SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.
AI at SharkNinja
At SharkNinja, 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.
Position Overview
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 Manager, Media Analytics will thrive in SharkNinja'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 position covers Manager-level roles across our AMER team (Needham, MA, HQ), aligned to the Shark and Ninja brands in the US, Canada, and MX/LatAm markets, and our EMEA team (London, UK), aligned to the UK, France/Germany and other European markets.
Key Responsibilities
- Predictive Modeling: 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 analyze audience and creative effectiveness across SharkNinja’s product categories, leading with data-informed insights.
- Brand & Talent Evaluation: Monitor and report out on brand health and ambassador performance by analyzing consumer sentiment data, ensuring celebrity investments align with SharkNinja'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 they escalate.
- Reporting & Dashboards: Build and maintain concise, audience-appropriate dashboards that highlight what's working, what isn't, and where predictive models point next. Collaborate with Data & Engineering teams to maintain the integrity of the media analytics ecosystem, where data quality is validated, and dashboards provide accurate, actionable insights.
- Insights to Action: Translate complex, model-driven data into compelling stories that lead to concrete recommendations and immediate adjustments.
- Team & Stakeholder Partnership: Mentor junior analysts and partner closely with regional marketing, brand, performance and agency stakeholders to embed predictive thinking into day-to-day media decisions.
Attributes & Skills
- Bachelor's or Master's degree in Marketing, Data Science, Statistics, Economics, or a related field.
- 6+ years of experience in marketing analytics within a consumer-driven industry, with direct experience building or applying predictive/forecasting models.
- Strong grasp of both digital performance channels and traditional media measurement.
- Commercially curious mindset that goes beyond the numbers, to understand marketing effectiveness and commercial outcomes.
- Constantly ask
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s