AI Generalist (Operations & Analytics)

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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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