PayPal Manager Data Analytics United States, California, San Jose 7734179
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Essential Responsibilities:
- Manage, coach, and develop a team of data analysts.
- Oversee day-to-day delivery of analytics projects and reporting.
- Ensure accuracy, consistency, and quality of all team outputs.
- Collaborate with business units to prioritize analytics initiatives.
- Communicate insights and recommendations to mid-level leadership.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Data Analysis & Insights
identifytrends and opportunities
Design and implement measurement frameworks for product features and initiatives
Create comprehensive dashboards and reports to track key product metrics and KPIs
Conduct A/B tests and experiments tovalidateproduct hypotheses and measure impact
Perform cohort analysis, funnel analysis, and retention studies to understand user engagement
Strategic Support
Partner with product managers, engineers, and designers to define success metrics for new features
Provide data-driven recommendations to inform product roadmap and prioritization decisions
Present findings and insights to stakeholders across all organizational levels
opportunities for product improvements based on data analysis
Support go-to-market strategies with user segmentation and targeting insights
Technical Implementation
Build andmaintainautomated reporting systems and data pipelines
Ensure data quality and accuracy across product analytics platforms
Collaborate with engineering teams to implement proper event tracking and data collection
Develop statistical models to predict user behavior and product performance
Create self-service analytics tools for cross-functional teams
Education & Experience
Bachelor’s degree or Master's in Analytics, Statistics, Mathematics, Economics, Computer Science, or related field
3-5 years of experience in product analytics, business intelligence, or data science
Proven track record of using data to drive product decisions and business outcomes
Knowledge of machine learning techniques and their applications
Familiarity with data warehousing concepts and ETL processes
Experience with customer segmentation and personalization strategies
Background in user experience research or behavioral psychology
Certification in relevant analytics platforms or tools
Technical Skills
proficiencyin SQL for data extraction and manipulation
Experience with analytics platforms (Google Analytics,Mixpanel, Amplitude, or similar)
in data visualization tools (Tableau, Looker, Power BI, or similar)
Strong statistical analysis skills and experience with A/B testing methodologies
Programming experience in Python or R for data analysis
Analytical Skills
Strong problem-solving abilities with attention to detail
Experience designing and analyzing experiments
Ability to translate complex data into clear, actionable insights
Understanding of statistical concepts and their practical applications
Experience with predictive modeling and forecasting techniques
Communication
Excellent written and verbal communication skills
Ability to present complex findings to both technical and non-technical audiences
Strong storytelling abilities using data and visualizations
facilitatingcross-functional discussions and workshops
Business Acumen
Understanding of product development lifecycle and methodologies
Knowledge of key business metrics and their relationships
Ability to connect analytical insights to business impact
Experience working in agile development environments
Personal Attributes
Intellectual curiosity and passion for uncovering insights from data
Strong collaboration skills and ability to work effectively in cross-functional teams
Self-motivated with ability to manage multiple projects simultaneously
Adaptability to work in a fast-paced, evolving environment
Detail-oriented with commitment to data accuracy and quality
Work On
Measuring andoptimizinguser onboarding and activation flows
Analyzing feature adoption and usage patterns across different user segments
Supporting product experimentation through rigorous A/B testing programs
Building predictive models for user retention and lifetime value
Creating executive-level reporting on product performance and growth metrics
Collaborating on data strategy and infrastructure improvements
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $94,000 to $156,200
Our Benefits:
Any general requests for consideration of your skills, please
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