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New Relic One

Compare

1.5

based on 3 Reviews

1 New Relic One Senior Manager Job

Senior Manager, Product Analytics & Data science

newrelic

1.5

based on 3 Reviews

3-8 years

Bangalore / Bengaluru

1 vacancy

Senior Manager, Product Analytics & Data science

New Relic One

posted 9d ago

Job Role Insights

Key skills for the job

Data Analysis Data Analytics Python SQL CCTV Monitoring Sanction Screening

+ 4 more

Job Description

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 teams 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 3+ years of experience in People management.
Minimum of 9 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 Relics products and services
Experience with AI/LLM tools for productivity.

Employment Type: Full Time, Permanent

Read full job description