Business Intelligence Analyst 3

Job Description

Role Overview:Join the innovative PayPal Service Experience Analytics team as a Business Intelligence Analyst, where you will play a key role in gathering requirements, analyzing data, and developing impactful reports, dashboards, and visualizations to drive PayPals 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.- 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 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 (e.g., Teradata, Big Query) and scripting languages (e.g., Python, R) with a deep understanding of structured and unstructured databases.- Bachelors degree in Computer Science, Information Technology, Mathematics, Software Engineering, or closely related quantitative discipline, or equivalent work experience.- Strong understanding of commercial product data and how to leverage it to support business critical decisions and process optimization.- Working knowledge in relevant reporting technologies such as Tableau, Looker.- Understanding of statistics (e.g., regression, correlation, hypothesis testing, statistical inference) and designing and evaluating complex experiments (A/B Testing).- Prior work experience in a product analytics space would be highly valued.- Excellent collaboration and partnership skills for working across organizations and cultures.- Strong communication and presentation skills, results-oriented, and appreciation of diversity in teamwork. Role Overview:Join the innovative PayPal Service Experience Analytics team as a Business Intelligence Analyst, where you will play a key role in gathering requirements, analyzing data, and developing impactful reports, dashboards, and visualizations to drive PayPals 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.- 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 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 (e.g., Teradata, Big Query) and scripting languages (e.g., Python, R) with a deep understanding of structured and unstructured databases.- Bachelors degree in Computer Science, Information Technology, Mathematics, Software Engineering, or closely related quantitative discipline, or equivalent work experience.- Strong understanding of commercial product data and how to leverage it to support business critical decisions and process optimization.- Working knowledge in relevant reporting technologies such as Tableau, Looker.- Understanding of statistics (e.g., regression, correlation, hypothesis testing, statistical inference) and

Keyskills :
Data AnalyticsData VisualizationStatisticsSQLPythonTableauJupyter NotebooksLookerAB Testing