Manager, Media Analytics

SharkNinjaNeedham, MA
Hybrid

About The Position

SharkNinja is a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions. Powered by two trusted brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market. Headquartered in Needham, Massachusetts, with over 4,100 associates, SharkNinja's products are sold globally. At SharkNinja, we are building an AI-native culture, encouraging experimentation and the adoption of new tools to create meaningful consumer impact. This role is for a Manager, Media Analytics to lead predictive measurement of media investments across channels, building forward-looking models to anticipate performance, uncover insights, and drive smarter decisions. The role is part of the Global Marketing Analytics Team, focused on transforming data into clear actions to optimize marketing performance and guide media, social, and creative strategies. The ideal candidate will thrive in SharkNinja's fast-moving culture, balancing rigor with pragmatism, and using predictive data to influence decisions and identify new opportunities. This position covers Manager-level roles for the AMER team (Needham, MA, HQ) aligned to the Shark and Ninja brands in the US, Canada, and MX/LatAm markets, and the EMEA team (London, UK) aligned to the UK, France/Germany, and other European markets.

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.
  • Excellent communication and presentation skills to influence decision-makers at all levels.
  • Comfortable operating in a fast-paced, agile environment with shifting priorities.

Responsibilities

  • Build and maintain predictive and forecasting models—spanning MMM, attribution, and incrementality—to anticipate media performance and guide allocation decisions before results are final.
  • 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.
  • Partner with internal teams and agencies to pivot strategies based on real-time insights and forward-looking model outputs.
  • Partner with internal teams and agencies to analyze audience and creative effectiveness across SharkNinja’s product categories, leading with data-informed insights.
  • 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.
  • Proactively identify signals, anomalies, or emerging patterns in media and market data to flag risks or opportunities before they escalate.
  • 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.
  • Translate complex, model-driven data into compelling stories that lead to concrete recommendations and immediate adjustments.
  • Mentor junior analysts and partner closely with regional marketing, brand, performance and agency stakeholders to embed predictive thinking into day-to-day media decisions.

Benefits

  • 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
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