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Data Analyst Paypal Jobs (NOW HIRING)

Staff Data Scientist

Chicago, IL · On-site

$160.50K - $238.70K/yr

Lead and manage data science projects, ensuring timely delivery and alignment with business goals ... analytical findings into actionable insights and strategic recommendations Subsidiary: PayPal ...

Staff Data Scientist

San Jose, CA

$176.50K - $262.35K/yr

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Analyze complex datasets to identify trends, patterns, and insights that drive strategic ...

Staff Data Scientist

Chicago, IL

$160.50K - $238.70K/yr

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Analyze complex datasets to identify trends, patterns, and insights that drive strategic ...

Sr Data Scientist

San Jose, CA · On-site

$143.50K - $212.85K/yr

This job will provide data science and analytics support to the PayPal World product. It will be responsible for research and analytics around partner specific chargeback and risk performance on the ...

We are looking for a Senior Data Scientist to drive insights and optimization across merchant ... Effective use of AI tools to accelerate analysis and innovation Subsidiary: PayPal Travel Percent ...

Staff Data Engineer

San Jose, CA · On-site

$159.50K - $236.50K/yr

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Analyze complex datasets to identify trends, patterns, and insights that drive strategic ...

... analysis, sampling, simulations. Design and refine a valuations framework that enables PayPal to extend credit with a comprehensive view of each decision's NPV. Work with product, data science, and ...

Staff Data Engineer

San Jose, CA · On-site

$159.50K - $236.50K/yr

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Analyze complex datasets to identify trends, patterns, and insights that drive strategic ...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Analyze complex datasets to identify trends, patterns, and insights that drive strategic ...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Prepare data reports in support of monthly and quarterly controls * Assist with execution of ...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Prepare data reports in support of monthly and quarterly controls * Assist with execution of ...

Staff Data Scientist

Chicago, IL · On-site

$160.50K - $238.70K/yr

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Analyze complex datasets to identify trends, patterns, and insights that drive strategic ...

Sr Data Scientist

San Jose, CA

$143.50K - $212.85K/yr

Understanding of how to analyze large, multi-dimensional data sets and synthesize data insights into actionable recommendations Subsidiary: PayPal Travel Percent: 0 - The base pay for this role will ...

Sr Analyst, Treasury

Omaha, NE · On-site

$94K - $134.75K/yr

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Prepare data reports in support of monthly and quarterly controls * Assist with execution of ...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Prepare data reports in support of monthly and quarterly controls * Assist with execution of ...

Staff Data Scientist

San Jose, CA · On-site

$176.50K - $262.35K/yr

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating ... Analyze complex datasets to identify trends, patterns, and insights that drive strategic ...

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Data Analyst Paypal information

See salary details

$34K

$82.6K

$136K

How much do data analyst paypal jobs pay per year?

As of May 29, 2026, the average yearly pay for data analyst paypal in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst at PayPal, and why are they important?

To thrive as a Data Analyst at PayPal, you need strong analytical skills, proficiency in statistics, and a solid background in data modeling, often supported by a degree in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau is typically required, along with experience in big data systems. Outstanding problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable business recommendations. These skills are essential for driving data-driven decisions that enhance PayPal’s products, services, and customer experiences.

How does a Data Analyst at PayPal typically collaborate with cross-functional teams to drive business insights?

At PayPal, Data Analysts regularly partner with product managers, engineers, and business stakeholders to turn raw data into actionable insights. This collaboration often involves identifying business problems, designing experiments or analytical approaches, and presenting findings in a clear, impactful manner. Analysts may lead meetings to discuss data-driven recommendations or work alongside teams to implement solutions, ensuring that analytical outputs directly inform strategic decisions. The fast-paced, collaborative environment encourages open communication and creative problem-solving, providing analysts with continuous learning and growth opportunities.

What does a Data Analyst at PayPal do?

A Data Analyst at PayPal is responsible for collecting, analyzing, and interpreting large sets of data to help inform business decisions and improve products or services. They use various data tools and statistical techniques to identify trends, patterns, and actionable insights. Additionally, Data Analysts at PayPal collaborate with different teams to support strategic initiatives, optimize processes, and measure performance through dashboards and reports.

What is the difference between Data Analyst Paypal vs Data Analyst Stripe?

AspectData Analyst PaypalData Analyst Stripe
Required CredentialsBachelor's in Data Science, Statistics, or related field; SQL, Excel, and data visualization skillsBachelor's in similar fields; SQL, Excel, and data visualization skills
Work EnvironmentFinancial technology, online payments, e-commerceFinancial technology, online payments, e-commerce
Employer & Industry UsageGlobal online payment platform, fintech industryGlobal online payment platform, fintech industry
Search & Comparison IntentCommonly compared due to similar roles in online paymentsSimilar roles in fintech and online payments

Both Data Analyst Paypal and Data Analyst Stripe work in the fintech industry, focusing on online payments. They require similar skills, certifications, and work environments. The main difference lies in the specific company and platform they support, but their roles and responsibilities are largely comparable for job seekers and employers.

More about Data Analyst Paypal jobs
What are the most commonly searched types of Data Analyst Paypal jobs? The most popular types of Data Analyst Paypal jobs are:
Health Data Analyst - AI Trainer

Health Data Analyst - AI Trainer

DataAnnotation

Columbia, SC • On-site, Remote

$40/hr

Full-time

Posted 17 days ago


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr