Business Intelligence Analyst 3

Role Overview: Join the innovative PayPal Service Experience Analytics team as a Business Intelligence Analyst and help deliver transformative business insights. Your role will involve gathering requirements, analyzing data, and developing impactful reports, dashboards, and visualizations to drive PayPal's servicing experience strategy. This position is ideal for individuals passionate about data analytics, data visualization, strategy, and innovation. Key Responsibilities: - Lead in gathering requirements, analyzing data, programming data models, and developing impactful reports, dashboards, and visualizations to drive PayPals service experience strategy. - Conduct deep dive analysis including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and other ad-hoc analysis on PayPal product and customer experience data to identify and address customer pain points. - Synthesize large volumes of data, develop data models, and enable the development of key business metrics. - Collaborate with product engineering and data engineering teams to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines. - Partner with cross-functional analytics teams for rigorous exploratory data analyses to guide customer experience strategy, analyze business performance, triage issues, and create executive-friendly info-insight packets. - Define and cultivate best practices in analytics instrumentation and experimentation. - Design and develop high-quality dashboards and analytical tools for delivering insights. - Support multiple projects simultaneously in a fast-paced, results-oriented environment. Qualifications Required: - 5+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions. - 5+ years of recent SQL development (like Teradata, Big Query) and scripting languages (like Python, R) with a deep understanding of structured and unstructured databases. - Strong experience using Jupyter Notebooks and scripting to perform data analytics. - Bachelors degree or foreign equivalent in Computer Science, Information Technology, Mathematics, Software Engineering, or closely related quantitative discipline or equivalent work experience. - Working knowledge in relevant reporting technologies such as Tableau, Looker. - Understanding of statistics (e.g. regression, correlation, hypothesis testing, statistical inference). - Excellent collaboration and partnership skills for working across organizations, cultures, and geographies. - Strong communication skills, presentation skills, results-oriented mindset, and appreciation of diversity in teamwork. (Note: Any additional details about the company were not present in the provided job description.) Role Overview: Join the innovative PayPal Service Experience Analytics team as a Business Intelligence Analyst and help deliver transformative business insights. Your role will involve gathering requirements, analyzing data, and developing impactful reports, dashboards, and visualizations to drive PayPal's servicing experience strategy. This position is ideal for individuals passionate about data analytics, data visualization, strategy, and innovation. Key Responsibilities: - Lead in gathering requirements, analyzing data, programming data models, and developing impactful reports, dashboards, and visualizations to drive PayPals service experience strategy. - Conduct deep dive analysis including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and other ad-hoc analysis on PayPal product and customer experience data to identify and address customer pain points. - Synthesize large volumes of data, develop data models, and enable the development of key business metrics. - Collaborate with product engineering and data engineering teams to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines. - Partner with cross-functional analytics teams for rigorous exploratory data analyses to guide customer experience strategy, analyze business performance, triage issues, and create executive-friendly info-insight packets. - Define and cultivate best practices in analytics instrumentation and experimentation. - Design and develop high-quality dashboards and analytical tools for delivering insights. - Support multiple projects simultaneously in a fast-paced, results-oriented environment. Qualifications Required: - 5+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions. - 5+ years of recent SQL development (like Teradata, Big Query) and scripting languages (like Python, R) with a deep understanding of structured and unstructured databases. - Strong experience using Jupyter Notebooks and scripting to perform data analytics. - Bachelors degree or foreign equivalent in Computer Science, Information Technology, Mathemati

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