Your opportunity
As the Product Analytics Senior Manager, you will play a crucial role in leveraging data to inform product strategy, optimize user experiences, and drive business growth. You will lead a team of analysts, fostering a culture of data-driven decision-making and continuous improvement. As a hands-on leader, you will lead the technical work on key projects setting standards of excellence in data science, analysis, executive communication and execution for the team. The ideal candidate is a motivated leader who is business oriented as well as technically strong, thriving in ambiguous problem spaces with a strong track record of execution.
What you'll do
- Provide technical leadership, including guiding the team on best practices in data analysis, modeling techniques, model monitoring and tool selection
- Lead and manage project initiatives for the Product Analytics team, ensuring alignment with business goals and timely delivery of high-impact results
- Investigate user behavior patterns to identify opportunities for improving product adoption, engagement, and retention of our observability tools
- Develop and implement strategies to build product stickiness and reduce churn, including the creation and tracking of relevant metrics for observability products
- Track KPIs across the product organization and perform root cause analysis on significant changes or anomalies
- Collaborate closely with Data Engineering teams to ensure data quality, accessibility, and efficient pipelines
- Provide strong people management, including performance evaluations, career development planning
- Mentor and upskill team members, fostering their professional growth and enhancing the team's overall capabilities
- Oversee hiring and onboarding processes to build and maintain a high-performing analytics team
- Develop and maintain comprehensive documentation of analytics processes, methodologies, and findings
- Foster a positive team culture that promotes innovation, collaboration, and continuous learning
This role requires
- Minimum of 7 years of experience in advanced Analytics and data science, with a significant portion in leadership roles
- Experience spearheading cross-functional initiatives that impact the entire organization
- Python programming skills for data manipulation, analysis, and DS modeling
- Solid understanding of statistical concepts and their application in business contexts
- Hands-on experience with at least 3 of the following modeling and predictive analytics techniques such as
- Supervised learning: regression, decision trees, random forests, gradient boosting machines (e.g., XGBoost, LightGBM)
- Unsupervised learning: clustering (K-means, hierarchical), dimensionality reduction
- Time series analysis and forecasting methods (ARIMA, Prophet)
- Model evaluation metrics and validation techniques (cross-validation, ROC curves, confusion matrices)
- Some background in model deployment in production and model monitoring
- Strong people management skills, including experience in leading and developing high-performing teams
- Excellent project management skills with experience using tools like Jira and Confluence
- Expertise in data visualization and dashboard creation, particularly with Tableau
- Proficiency in SQL for complex data querying and analysis
- Familiarity with dbt for data transformation and modeling
- Strong data visualization and storytelling abilities to communicate insights effectively
- Experience with Analytics best practices and establishing data governance
- Strong leadership skills, including the ability to motivate and inspire team members
- Proven ability to manage multiple priorities and deliver results in a fast-paced environment
Bonus points if you have
- Experience with cloud-based machine learning services (preferably AWS SageMaker) specially MLOps
- Experience in the observability or APM space
- Familiarity with New Relic's products and services
- Experience with AI/LLM tools for productivity, Analytics and DS
