PayPal Senior BI Analyst 

Ireland, Dublin 

991505943

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.

Our Benefits:

Any general requests for consideration of your skills, please