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AI Generalist (Operations & Analytics)

Posted about 8 hours agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: India

🔍 Industry: Software Development

🏢 Company: Atlan

⏳ Experience: 5+ years

🪄 Skills: AWSProject ManagementPythonSQLApache AirflowBusiness IntelligenceCloud ComputingData AnalysisData MiningETLMachine LearningOperations ManagementBusiness OperationsAlgorithmsAPI testingData engineeringData scienceData StructuresAnalytical SkillsCI/CDRESTful APIsReportingData visualizationStrategic thinkingData modelingData analyticsData management

Requirements:
  • 5+ years of proven analytics and operations experience from high-growth B2B software companies. You've built measurement frameworks for major initiatives, created executive-level dashboards, and have a track record of turning complex datasets into actionable insights.
  • Advanced SQL expertise and proficiency with modern BI tools (Sigma experience is a plus). You're comfortable building data pipelines and have a strong grasp of data architecture principles that ensure scalable, reliable analytics.
  • Strong experience evaluating, implementing, and optimizing enterprise software tools. You've built scalable processes, driven tool adoption, and consistently demonstrated ROI on operational investments while maintaining high data quality standards.
  • Proven ability to connect operational metrics to business outcomes. You've supported strategic decisions with data, built frameworks to measure initiative success, and have a history of driving measurable improvements in team efficiency.
  • Sharp analytical thinking combined with the ability to see the bigger picture. You understand how to translate business requirements into operational metrics and can build systems that scale.
  • Thrive in dynamic environments with exceptional attention to detail. You have a proven track record of working effectively across technical and business teams to drive results.
Responsibilities:
  • Build our impact measurement framework - design analytics systems that quantify how our AI initiatives accelerate growth and enhance customer value.
  • Drive operational excellence - evaluate and optimise our AI tools ecosystem, ensuring we get maximum ROI from our investments while maintaining efficiency.
  • Create the intelligence backbone - develop dashboards and real-time reporting that help teams understand what's working and identify new opportunities.
  • Enable systematic scaling - architect automated workflows and data pipelines that allow successful initiatives to grow seamlessly while maintaining quality.
  • Power data-driven decisions - transform complex data into clear insights that guide our taskforce's strategy and demonstrate business impact.
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