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Staff Data Analyst, Customer Success Strategy & Ops

Posted 5 days agoViewed

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💎 Seniority level: Staff, ~5 years

📍 Location: USA

💸 Salary: 138500.0 - 221600.0 USD per year

🔍 Industry: Software Development

🏢 Company: HubSpot👥 1001-5000💰 $35,000,000 Series E over 12 years ago🫂 Last layoff about 1 year agoSaaSAnalyticsMarketingCopywritingSocial Media

🗣️ Languages: English

⏳ Experience: ~5 years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisETLTableauBusiness OperationsData engineeringData scienceCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelData visualizationData modelingData analyticsData managementCustomer Success

Requirements:
  • Academic or professional experience with a heavy quantitative, analytical focus
  • Experience working with data end-to-end, from ingestion to data modeling to analytical deliveries
  • Experience with enterprise-scale analytics architectures built for a variety of applications (beyond SQL transformations/reporting, ideally Looker, HEX)
  • Ability to write performant, complex SQL queries combining multiple sources of data
  • Expertise with data analytics and statistical tools such as R or Python
  • Confidence with a variety of analytical and statistical techniques (e.g., regression analysis)
Responsibilities:
  • Build and scale our CSSO data analytics practice to transform customer usage patterns and outcomes data into strategic insights that drive product and service improvements
  • Develop comprehensive analytics frameworks to guide Customer Success strategy and long-term initiatives, turning data into actionable recommendations for leadership
  • Design and implement performance measurement systems, including monthly business reviews, forecasting models, and success metrics
  • Lead complex analytical investigations to identify root causes of customer challenges and recommend actionable solutions that drive measurable business outcomes
  • Create scalable processes and systems that enhance team productivity and decision-making through data-driven insights
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