Embedded analytics platform for cloud data insights and decision-making
Lognormal Analytics builds embedded BI tooling with a modern frontend stack (React, React Native, TypeScript, GraphQL) paired with backend infrastructure on AWS and GCP. The company is currently focused on CI/CD maturation, test automation, and monitoring—priorities reflected in active projects around pipeline integration, test strategy, and centralized logging. Hiring remains minimal and engineering-focused, suggesting a consolidation phase around operational reliability and adoption velocity rather than headcount growth.
Notable leadership hires: IT Support Lead
Lognormal Analytics develops embedded analytics solutions designed to integrate into customer applications, enabling data-driven decisions at enterprise scale. The platform targets cloud data environments and emphasizes data modeling, visualization, and predictive capabilities. Operating from Hyderabad with 51–200 employees, the company is addressing internal infrastructure challenges—particularly around QA efficiency, monitoring, compliance, and adoption velocity—while maintaining a lean support and engineering structure.
Frontend: React, React Native, TypeScript, GraphQL, Webpack, Jest. Backend: Node.js, Python. Infrastructure: AWS, GCP, Docker, Kubernetes. QA: Cypress, Selenium, Playwright, TestRail, k6. CI/CD: GitHub Actions, CircleCI.
Active initiatives include scalable automation framework development, CI/CD pipeline integration, test strategy definition, cohort analysis for adoption studies, and infrastructure work on monitoring, logging, backup, and disaster recovery.
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