About PayPal

PayPal Recruitment

Job Role: Senior Data Analyst

Qualification: Bachelors / Masters Degree

Experience: 0-2 years

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to €69,000 per year

Job Location: Dublin

Last Date: ASAP

Job Notification Join us on Telegram: Click here

Job Summary:

As PayPal continues its mission to revolutionize commerce, we are looking for a Senior Data Analyst to join our Experience Analytics team. This is your chance to make an impact by delivering transformative insights that will shape PayPal’s service strategy. If this intro sparks your interest, keep reading — the best is yet to come!

Job Description:

Reporting to our Sr. Manager of Data Analytics, you’ll be part of a team impacting millions of customers globally and guiding leaders through a complex landscape of business and customer experiences. Our insights drive decision-making across operational performance, customer experience, and product and technology enablement.

Your Way to Impact

In this role, you will be helping our company drive business decisions by gathering requirements, analyzing data, and developing impactful reports, dashboards, and visualizations. You will noably be responsible for shaping PayPal’s service experience strategy with your insights, working closely with cross-functional teams to ensure continuous improvement and innovation. If you’re passionate about analytics, data visualization, and influencing business strategy, this role is the perfect opportunity to leverage your skills and drive innovation.

Your day-to-day:

• Be a domain expert in servicing and customer experience, using rigorous data analysis to drive financial impact for PayPal.
• Perform deep-dive analyses, including causal inference, pre-post analysis, sensitivity analysis, financial projections, and ad-hoc queries, to identify customer pain points and improve merchant/customer service.
• Synthesize large data sets and build data models to develop meaningful business metrics, while crafting compelling data stories.
• Analyze business performance, triage issues, and establish alerting systems to support proactive decision-making.
• Partner with product and data engineering teams to enable feature tracking, resolve complex data issues, and develop data pipelines.
• Collaborate with cross-functional analytics teams to explore data, guide customer experience strategy, and assess business performance and health.
• Work closely with product leaders to understand new product offerings and recommend key metrics for measuring feature performance.
• Establish and promote best practices in analytics and experimentation, defining and tracking KPIs to evaluate the impact on the servicing experience.
• Design and develop high-quality dashboards and analytical tools to deliver clear, actionable insights.
• Manage multiple projects in a fast-paced, results-oriented environment, ensuring timely and impactful delivery.

What you need to succeed:

• Strong experience analyzing large, complex data sets and translating insights into actionable business solutions.
• Proficiency in SQL (e.g., Teradata, BigQuery) and scripting languages such as Python or R, with a deep understanding of both structured and unstructured data.
• Solid background in business intelligence, data analysis, or software engineering, with a focus on driving impactful results.
• Familiarity with using Jupyter Notebooks or similar tools to perform data analysis and create visualizations.
• A degree in Computer Science, Information Technology, Mathematics, Software Engineering, or a related field, or equivalent professional experience.
• The ability to turn commercial product data into valuable insights to support key business decisions and optimize processes.
• Experience with reporting tools such as Tableau or Looker to create clear, informative dashboards.
• A good grasp of fundamental statistics (e.g., regression, correlation, hypothesis testing, statistical inference) to draw actionable conclusions from data.
• Experience with A/B testing and experimentation methods is a plus.
• Prior experience in product analytics is a plus but not a requirement.
• Excellent collaboration skills, with the ability to work effectively across teams, cultures, and geographies.
• Comfort working in dynamic, fast-paced environments, and the ability to thrive in a collaborative, matrixed setting.
• Strong communication and presentation skills, with a results-oriented mindset and a commitment to diverse, inclusive teamwork.