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.

Requirements

• 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 asks "so what?" and "what should we do differently?" to influence better business decisions.
• Experience delivering analytics across emerging, growth, and mature markets, with the ability to tailor measurement frameworks, KPIs, benchmarks, and recommendations to reflect the different objectives and stages of market maturity.
• Hands-on experience with MMM, attribution, or incrementality methodologies.
• Familiarity with building in AI tools such as Claude.
• Experience collaborating with agencies and cross-functional teams to act on insights quickly.
• Ability to simplify complexity, focusing on insights that drive business impact.

Benefits

• The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.