New Relic - Chicago, IL

posted 23 days ago

Full-time - Senior
Hybrid - Chicago, IL
Professional, Scientific, and Technical Services

About the position

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.

Responsibilities

  • 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

Requirements

  • 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: Supervised learning (regression, decision trees, random forests, gradient boosting machines), Unsupervised learning (clustering, dimensionality reduction), Time series analysis and forecasting methods, Model evaluation metrics and validation techniques
  • 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

Nice-to-haves

  • Experience with cloud-based machine learning services (preferably AWS SageMaker) especially 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

Benefits

  • Healthcare
  • Dental
  • Vision
  • Parental leave and planning
  • Mental health benefits
  • 401(k) plan and match
  • Flex time-off
  • 11 paid holidays
  • Volunteer time-off
  • Discounted employee stock purchase plan
  • Other competitive benefits designed to improve the lives of our employees
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