Manager, Data Analytics

Description

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 :

Additional Responsibilities & Preferred Qualifications :

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

Preferred Qualifications :

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

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

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

Subsidiary : PayPal

Travel Percent :

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

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

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit .

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.

Our Benefits :

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 benefits to help you thrive in every stage of life. 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. To learn more about our benefits please visit .

Who We Are :

to learn more about our culture and community.

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. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal :

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.