Sr. Marketing & Analytics Manager, Devices NA Sales & Marketing

AmazonSeattle, WA
$142,800 - $193,200Onsite

About The Position

Amazon Devices is seeking a high-performing, results-oriented, and customer-obsessed Sr. Marketing Analytics Manager to join the Cross Devices Marketing team. As the single-threaded owner of traffic and marketing analytics, you will be a go-to marketing data expert for sales and marketing leaders, channel marketing managers, and senior Devices leadership. You will own recurring reporting mechanisms that keep stakeholders informed on drivers of business outcomes and help drive strategic marketing decisions across the Devices business, with direct visibility to senior leadership. Beyond recurring reporting, you will consult on data and attribution questions across the organization and deliver analyses that help shape investment and growth decisions. Your insights will directly influence how leaders prioritize growth initiatives and allocate marketing investment. This role requires someone who combines strong analytical skills with good business judgment, including a willingness to adopt AI and automation tools to accelerate analysis, improve reporting quality, and scale impact beyond what manual approaches allow. You must be comfortable operating independently, proactively identifying trends and opportunities, and communicating findings to senior audiences with clarity and precision. Stakeholders will rely on your analysis to make high-quality decisions. We welcome candidates from a variety of analytical backgrounds. Whether your experience is in marketing analytics, financial planning, demand forecasting, supply chain analytics, business intelligence, or another quantitative discipline, what matters most is your ability to own high-visibility analytical programs end-to-end and your drive to turn ambiguous business questions into structured, data-informed answers.

Requirements

  • 7+ years of professional non-internship marketing experience
  • Experience using data and metrics to drive improvements
  • Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
  • Experience building measures and metrics, and developing reporting solutions
  • Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
  • Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
  • Experience working proactively and independently, meeting deadlines, and delivering on projects and tasks

Nice To Haves

  • Experience in advanced data analysis using Excel, Python, or SQL
  • Experience with AI/ML technologies
  • Knowledge of large scale automation and workflow management or equivalent
  • Experience with marketing analytics
  • Experience in business analytics and reporting or demand forecasting
  • Experience with digital technologies, consumer products, media, and e-commerce

Responsibilities

  • Own and evolve recurring traffic and marketing reporting mechanisms (including WBR) with visibility to senior Devices leadership
  • Serve as the single-threaded analytics expert for the Cross Devices Marketing team, consulting across product lines and channels
  • Conduct deep-dive analyses to identify trends, diagnose issues, and surface growth opportunities across Devices traffic and marketing performance
  • Develop data visualizations and automated reporting solutions that improve decision-making speed and quality
  • Partner with product line leaders and channel marketing managers to interpret results and recommend actions
  • Proactively identify anomalies and emerging patterns in traffic and marketing data, escalating findings with context and recommendations
  • Partner with the Devices Data team to develop long-term analytics roadmaps, align on data priorities, and ensure reporting mechanisms evolve with business needs
  • Identify opportunities to leverage AI and automation (e.g., generative AI, ML-based anomaly detection, automated narrative generation) to improve reporting efficiency and analytical depth

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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