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Senior Analytics Manager

Posted 4 months agoViewed

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💎 Seniority level: Director, 8+ years in Data Analytics, 4+ years in a data leadership role

📍 Location: US, UK, Ireland, Poland, Germany

💸 Salary: 240000 - 320000 USD per year

🔍 Industry: Ecommerce, livestream shopping

🏢 Company: Whatnot👥 251-500💰 $260,000,000 Series D over 2 years agoInternetMarketplaceE-CommerceInformation TechnologyTrading PlatformCollectibles

🗣️ Languages: English

⏳ Experience: 8+ years in Data Analytics, 4+ years in a data leadership role

🪄 Skills: LeadershipSQLBusiness AnalysisBusiness IntelligenceData AnalysisMachine LearningSnowflakeProduct AnalyticsData engineeringData scienceSparkAnalytical Skills

Requirements:
  • Intellectually curious, highly motivated individuals with strong critical thinking and analytical skills.
  • Excellent verbal communication and presentation skills to stakeholders, leadership, and investors.
  • Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields.
  • Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
  • Proven track record of building and leading data science teams supporting International Expansion, Go To Market, Marketing, Finance, or Operations teams.
  • Ability to lead initiatives across multiple product areas and communicate findings with leadership and stakeholders.
  • Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT.
  • Expert in using SQL for data analysis, reporting, and dashboarding.
  • Experience with a scripting language such as Python or R is a plus.
  • Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks.
Responsibilities:
  • Hire and lead the Revenue Analytics team focused on growing top and bottom line revenue.
  • Build team roadmap to capture, analyze, and drive data driven decisions across core functions of the business and executive leadership.
  • Spearhead the strategic data driven vision that captures billion dollar GMV opportunities.
  • Own report building, insights generation, and data informed recommendations.
  • Organize and shape the collective understanding of business health and opportunities through various data sources both internal and external.
  • Act as cross functional leader guiding key decision making on high value initiatives.
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