Senior Product Analyst - Data Governance

New Relic New Relic · Enterprise · Bangalore, India · Data Analytics

This role focuses on modernizing and scaling data governance within a product analytics team, leveraging AI tools and LLMs to standardize data, maintain data dictionaries, and provide insights into customer and user engagement. The primary focus is on data management and analysis to inform product decisions, rather than building core AI models.

What you'd actually do

  1. Establish and advocate for AI-powered governance workflows to ensure telemetry data is automatically standardized, while leveraging LLMs to maintain dynamic data dictionaries and a "single source of truth"
  2. Conduct in-depth data analysis of product usage and financial data to identify trends, behaviors, and corresponding business impact to inform development decisions
  3. Develop and maintain a balanced set of KPIs that assess the success of product initiatives, including product adoption, revenue impact, and customer retention
  4. Create and present data-driven reports and presentations to stakeholders, demonstrating how product improvements positively impact the bottom line
  5. Stay current with emerging AI tools for data discovery, automated governance, and advanced analytics to make well-informed, data-driven recommendations

Skills

Required

  • Advanced proficiency in SQL
  • Advanced proficiency in Python
  • AI-assisted workflows (e.g., GitHub Copilot, LLMs)
  • Build business narratives, metrics, and analysis
  • Define and test hypotheses
  • Deliver practical insights through data visualizations
  • Build scalable reporting and self-service dashboards
  • Distill complex findings into precise, actionable insights for executive leadership
  • Apply statistical methods (such as regression, classification, or time-series analysis) to solve real-world business problems and validate product hypotheses

Nice to have

  • Hands-on experience with OpenMetadata or similar data discovery and cataloging platforms
  • Prior experience collaborating with engineering to deploy and monitor AI/ML models (e.g., churn prediction or propensity models) for sustained business impact
  • Familiarity with the observability space or experience using the New Relic platform to analyze telemetry data

What the JD emphasized

  • AI-powered governance workflows
  • leveraging LLMs
  • AI tools for data discovery, automated governance, and advanced analytics
  • Advanced proficiency in SQL and Python, including the use of AI-assisted workflows (e.g., GitHub Copilot, LLMs) to accelerate code development, automate documentation, and enhance data exploration
  • Proven ability to independently lead the end-to-end analytics lifecycle, from building pipelines and data modeling to driving data governance by defining standards, improving data quality, and managing metadata