Nasu Group
Analytics & Observability Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
10 August 2026
What they need
We are seeking a passionate Analytics & Observability Engineer with 3-5 years of
experience to drive app analytics and observability across our digital ecosystem. In this
role, you will optimize analytics solutions for web applications, mobile apps, Salesforce
platforms, backend services, databases, and infrastructure components. You will
monitor user behaviour, ensure data quality, and generate actionable insights to inform
product decisions. You will collaborate closely with product managers, engineers, and
UX teams to elevate our understanding of how users engage with and experience our
products end-to-end.
Key Responsibilities- Implement and maintain application analytics instrumentation using platforms such as Mixpanel, Amplitude, Google Analytics, Adobe Analytics, Dynatrace, and Datadog RUM.
- Drive observability best practices across the product ecosystemincluding applications such as Salesforce, web platforms, and mobile appsby monitoring key metrics such as performance, usage patterns, errors, and user flows using tools like Datadog, Dynatrace, or similar observability platforms.
- Design tracking plans and ensure a consistent event taxonomy across all products.
- Collaborate with engineering teams to embed tracking across mobile apps, web applications, Salesforce platforms, infrastructure components, and database systems.
- Validate data collection and troubleshoot discrepancies between expected and actual results.
- Build dashboards and reports to visualize user engagement, retention, conversion funnels, feature adoption, performance trends, and key product KPIs across applications
- Analyse data to uncover trends, user behaviours, and opportunities for feature optimization.
- Present findings and recommendations to product managers and leadership teams.
- Stay current with industry best practices in analytics implementation, observability tooling, and emerging technologies to continuously improve data quality, performance insights, and product decision-making.
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