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Analytics Manager

Posted 20 days agoViewed

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💎 Seniority level: Manager, 10+ years

📍 Location: India

🔍 Industry: Education

🏢 Company: Khan Academy👥 101-250💰 $10,000 Series A over 3 years agoInternetEducationE-LearningApps

🗣️ Languages: English

⏳ Experience: 10+ years

🪄 Skills: AWSLeadershipPythonSQLBusiness IntelligenceData AnalysisData MiningETLMachine LearningTableauData sciencePostgresREST APICommunication SkillsAnalytical SkillsMentoringData visualizationTeam managementData modeling

Requirements:
  • 10+ years experience in data science or analytics
  • Strong SQL foundations & ability to manipulate data using Python. We are SQL and spreadsheet-heavy.
  • Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Responsibilities:
  • Own the continued development of metrics & KPIs, including trend analyses, metrics research, self-service tooling development, and support of business teams who use them to drive strategic & operational decisions.
  • Conceptualize and execute deep-dive analyses to uncover insights about our users across their lifecycle (from acquisition to usage & retention). You will leverage your strong technical skills to mine for patterns and causal relationships, and paint the picture of how users are interfacing with our products to achieve learning outcomes
  • Contribute to the design of hypothesis-driven experimentation, such as outcome measurement for campaigns and other optimization initiatives
  • Play a critical role in developing the organization’s data culture, and ensure that there is strong analytics input towards evaluation & prioritization of new opportunities
  • Collaborate with the efficacy and research lead for Khan Academy India to support curated datasets and/or dashboards
  • Contribute to the development of analytics tools and data applications to enhance data access for the school's success, philanthropic,and marketing teams
  • Lead and mentor a team of data analysts, driving high-quality analysis and actionable insights.
  • Oversee data collection, cleaning, validation, and warehousing to ensure accuracy and reliability.
  • Ensure data governance, security, and compliance with company policies and privacy regulations.
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