Specialist, Product Analytics

Description

Key Responsibilities

Data Analysis & Insights

• Analyze user behavior, product usage patterns, and customer journey data to identify trends 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 to validate product 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

• Identify opportunities for product improvements based on data analysis

• Support go-to-market strategies with user segmentation and targeting insights

Technical Implementation

• Build and maintain automated 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

Required Qualifications

Education & Experience

• Bachelor’s degree 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

Technical Skills

• Advanced proficiency in SQL for data extraction and manipulation

• Experience with analytics platforms (Google Analytics, Mixpanel, Amplitude, or similar)

• Proficiency 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

Preferred Qualifications

• Bachelor’s or Master’s degree in a quantitative field

• Experience in a product-driven technology company

• 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

Essential Skills

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

• Experience facilitating cross-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

What You’ll Work On

• Measuring and optimizing user 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

Preferred Qualification:

Subsidiary:

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Our Benefits:

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We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more.

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Who We Are:

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Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.

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Belonging at PayPal: 

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Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued.

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