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Senior Product Analyst

Posted 2 months agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: US & Canada

💸 Salary: 110000 - 126000 USD per year

🔍 Industry: SaaS (Software as a Service)

🏢 Company: Muck Rack👥 251-500💰 $180,000,000 Series A over 2 years agoInformation ServicesPublic RelationsMedia and EntertainmentJournalismSaaSSoftware

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLData AnalysisSnowflakeGoogle AnalyticsTableauProduct DevelopmentProduct AnalyticsData engineeringGoCommunication Skills

Requirements:
  • 5+ years of experience in a product analytics or similar role, with a proven track record of driving product improvements through data insights.
  • Advanced proficiency in Snowflake, Python, and SQL (knowledge of data engineering principles is a plus).
  • Strong understanding and experience with product analytics tools such as PostHog, Heap, Amplitude, Mixpanel, and Google Analytics.
  • Expertise in data visualization tools like Tableau, Looker, Observable, or Power BI.
  • Strong knowledge of statistical analysis techniques.
  • Ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and meet tight deadlines.
  • Exceptional communication skills—both verbal and written—capable of translating complex data into clear, actionable insights.
Responsibilities:
  • Develop key product metrics and dashboards that reflect product health, user engagement, user value realization, and feature performance.
  • Use platforms like PostHog, Heap, Amplitude, Mixpanel, and Google Analytics to track and analyze user behavior, funnel performance, and customer journey insights.
  • Collaborate with cross-functional teams (Product, Engineering, Marketing, Customer Success) to ensure data-driven decisions are embedded in our product development process.
  • Lead and conduct end-to-end exploratory data analysis (EDA) to uncover trends, identify insights, and solve product challenges using large and complex datasets.
  • Build and manage analytics workflows using Snowflake, Python, SQL, and additional tools as needed to ensure data accuracy and accessibility.
  • Deliver clear and compelling data visualizations, reports, and presentations to Leadership and other stakeholders, translating insights into actionable business recommendations.
  • Drive continuous improvement in analytics processes, tools, and methodologies to increase efficiency and effectiveness.
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