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Senior Analyst, Product

Posted 14 days agoViewed

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💎 Seniority level: Senior, 3+ years

📍 Location: United States, Canada, PST

🏢 Company: Hatch

⏳ Experience: 3+ years

🪄 Skills: PythonSQLData AnalysisProduct AnalyticsData engineeringData scienceREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingData visualizationData modelingA/B testing

Requirements:
  • 3+ years of quantitative industry experience (analytics, data science, data engineering)
  • Bachelor's degree in a quantitative field (economics, mathematics, statistics, CS) preferred
  • Advanced SQL skills, hands-on experience working with consumer product data in large data warehouse environments,  and familiarity with modern analytical tools and languages (Python, R, etc.)
  • Fluency with  data visualization platforms & technologies (Sisense, Mode, Tableau) and eye for compelling data viz to convey insights.
  • Working knowledge of statistical methodologies, experiment design, and common pitfalls of data analysis.
  • A passion for collaboration and strong cross-functional communication skills to partner effectively with both technical and non-technical teams.
  • Self-starting attitude: You drive projects from start to finish with minimal guidance and a focus on improving the customer experience.
  • Customer empathy: You believe in using data to better understand customer behavior so that we can deliver value to Hatch users.
Responsibilities:
  • Build a solid understanding of our product experience, database, company strategies and success metrics.
  • Leverage existing dashboards and ad hoc analyses to answer business questions related to both the adult and kids product lines.
  • Become integral to cross-functional stakeholders spanning product, design, engineering, and content to deliver clear and actionable learnings.
  • Share analyses and make data-informed recommendations about product performance and feature decisions
  • Identify opportunities for data improvements, automation and self-serve solutions to help the team learn and iterate faster
  • Develop measurement strategies and learning plans as the team ships changes to the product and business.
  • Propose and support projects designed to deepen our understanding of our customer base and our product experience.
  • Exemplify and promote best practices for experimentation, data collection, and sharing actionable analyses.
  • Provide thought partnership across the product and engineering organizations, helping to infuse a data-first approach throughout the development process.
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