Senior Insights Product Manager

4 weeks ago

Toronto, Ontario, Canada Amazon Web Services Canada, Inc. Full time
About the Role

We are seeking a highly skilled Senior Insights Product Manager to join our AWS Sales Insights, Analytics, Data Engineering and Science (SIADS) Startup team. As a key member of our team, you will be responsible for defining, building, and scaling Business Intelligence and Analytics products that enable us to Get, Grow, and Keep GenAI startups on AWS.

Key Responsibilities
  • Own and deliver complex analyses, key reports, and dashboards to track sales goals, KPIs, and forecasts, as well as operational performance.
  • Build insights from 1P data (AWS' historical business data) and 3P data (sourced from multiple external data providers) to acquire the best GenAI startups for AWS.
  • Own innovation, development, and delivery of actionable insights built on reliable, secure data, including creating and coordinating user acceptance test plans for dashboards and advising on best practices and actionable insights based on analysis.
  • Comfortably and skillfully flex among various tools such as Tableau, QuickSight, and Excel, as needed and appropriate for the analytical ask and timing context.
  • Partner with data engineering and BI engineering teams to source internal and external data for reporting, analytics, and business insights delivery.
  • Work closely with Sales operations staff to optimize business processes and operations.
About the Team

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including public sector.

What We Offer
  • A dynamic and inclusive team culture that fosters a sense of belonging and encourages diversity of thought.
  • Endless opportunities for knowledge-sharing, mentorship, and career growth.
  • A flexible work environment that supports work-life harmony.
Requirements
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business.
  • Experience in data mining, ETL, etc., using databases in a business environment with large-scale, complex datasets and experience with data visualization using Tableau, Quicksight, or similar tools.

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