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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Our Product Analytics team is looking for a Senior Analyst to champion data governance, help us uncover deep insights into our customer and user engagement across the product portfolio, and deliver relevant and measurable intelligence to Product leadership. Our goal is maturing the analytic capabilities of our product organization, and realizing what is possible with the incredible amount of business, user, and customer data New Relic generates.
Job Responsibility:
Establish and advocate for data governance best practices, ensuring telemetry data is standardized, documented, and reliable across the product suite
Conduct in-depth data analysis to identify trends, patterns, user behaviors and corresponding business impact to inform product development decisions
Develop and maintain a balanced set of KPIs and performance metrics that assess the success of product initiatives, including product adoption, revenue impact, user and customer retention
Utilize various data analysis tools and methodologies to extract actionable insights from large datasets, covering both product usage and financial data
Create and present data-driven reports and presentations to stakeholders, demonstrating how product improvements positively impact the bottom line
Act as a data steward by maintaining data dictionaries and ensuring a "single source of truth" for core product metrics
Stay current with best practices in data analysis and data governance to make well-informed data-driven recommendations
Requirements:
Bachelor's degree in quantitative field (Business, Economics, Statistics, Computer Science, Engineering or related field) and 6 years experience, with at least 2 years in Product Analytics
Advanced proficiency in SQL and Python, and in building scalable reporting in tools like Tableau or Looker
Proven experience in data governance, including defining data standards, improving data quality, and managing metadata
Proven ability to independently lead end-to-end analytics (building pipelines, data modeling, generating and synthesizing insights)
Demonstrated history distilling complex findings into precise, actionable insights for executive leadership
Experience leveraging AI-assisted workflows (e.g., GitHub Copilot, LLMs) to accelerate code development, automate documentation, or enhance data exploration
Practical experience applying 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
Experience working within Agile/Scrum methodologies to manage analytics backlogs and deliver value
Prior experience collaborating with engineering to deploy and monitor data science 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