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Data Analyst Paypal Jobs (NOW HIRING)

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

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 ...

PayPal, Inc. seeks Sr Data Scientist in San Jose, CA Job Duties: Lead, build and implement analytics functions for Honey features, conduct impactful data analysis to improve customer experiences and ...

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 · On-site

$160K - $238K/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 ...

Drive business strategy recommendations through data analytics on Card authorization and PayPal customer data. Develop innovative card risk solutions while collaborating with key stakeholders in core ...

Sr Data Scientist

San Jose, CA · On-site

$143K - $212K/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 ...

Staff Data Scientist

Chicago, IL · On-site

$160K - $238K/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 and assess risks to provide informed recommendations for mitigation strategies Prepare ...

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Data Analyst Paypal information

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$34K

$82.6K

$136K

How much do data analyst paypal jobs pay per year?

As of Jul 8, 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 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 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 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:
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC • On-site

Other

Posted 5 days ago


Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts.

This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job?

| https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.