Manager, Data Analytics
Role details
Job location
Tech stack
Job description
We are seeking a data-driven Product Analytics Professional to join our team and drive product decisions through deep analytical insights. This role will be instrumental in understanding user behavior, measuring product performance, and identifying opportunities for growth and optimization. The ideal candidate will bridge the gap between complex data and actionable business insights., * Manage, coach, and develop a team of data analysts.
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Oversee day-to-day delivery of analytics projects and reporting.
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Ensure accuracy, consistency, and quality of all team outputs.
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Collaborate with business units to prioritize analytics initiatives.
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Communicate insights and recommendations to mid-level leadership., * Analyze user behavior, product usage patterns, and customer journey data to identify trends and opportunities
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Design and implement measurement frameworks for product features and initiatives
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Create comprehensive dashboards and reports to track key product metrics and KPIs
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Conduct A/B tests and experiments to validate product hypotheses and measure impact
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Perform cohort analysis, funnel analysis, and retention studies to understand user engagement
Strategic Support
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Partner with product managers, engineers, and designers to define success metrics for new features
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Provide data-driven recommendations to inform product roadmap and prioritization decisions
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Present findings and insights to stakeholders across all organizational levels
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Identify opportunities for product improvements based on data analysis
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Support go-to-market strategies with user segmentation and targeting insights
Technical Implementation
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Build and maintain automated reporting systems and data pipelines
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Ensure data quality and accuracy across product analytics platforms
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Collaborate with engineering teams to implement proper event tracking and data collection
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Develop statistical models to predict user behavior and product performance, The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is, Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Requirements
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5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., * Bachelor's degree or Master's in Analytics, Statistics, Mathematics, Economics, Computer Science, or related field
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3-5 years of experience in product analytics, business intelligence, or data science
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Proven track record of using data to drive product decisions and business outcomes
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Knowledge of machine learning techniques and their applications
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Familiarity with data warehousing concepts and ETL processes
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Experience with customer segmentation and personalization strategies
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Background in user experience research or behavioral psychology
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Certification in relevant analytics platforms or tools
Technical Skills
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Advanced proficiency in SQL for data extraction and manipulation
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Experience with analytics platforms (Google Analytics, Mixpanel, Amplitude, or similar)
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Proficiency in data visualization tools (Tableau, Looker, Power BI, or similar)
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Strong statistical analysis skills and experience with A/B testing methodologies
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Programming experience in Python or R for data analysis
Analytical Skills
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Strong problem-solving abilities with attention to detail
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Experience designing and analyzing experiments
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Ability to translate complex data into clear, actionable insights
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Understanding of statistical concepts and their practical applications
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Experience with predictive modeling and forecasting techniques
Essential Skills:
Communication
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Excellent written and verbal communication skills
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Ability to present complex findings to both technical and non-technical audiences
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Strong storytelling abilities using data and visualizations
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Experience facilitating cross-functional discussions and workshops
Business Acumen
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Understanding of product development lifecycle and methodologies
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Knowledge of key business metrics and their relationships
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Ability to connect analytical insights to business impact
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Experience working in agile development environments
Personal Attributes
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Intellectual curiosity and passion for uncovering insights from data
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Strong collaboration skills and ability to work effectively in cross-functional teams
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Self-motivated with ability to manage multiple projects simultaneously
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Adaptability to work in a fast-paced, evolving environment
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Detail-oriented with commitment to data accuracy and quality
What You'll Work On
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Measuring and optimizing user onboarding and activation flows
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Analyzing feature adoption and usage patterns across different user segments
Benefits & conditions
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most.We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.