Business Intelligence Analyst 4
About the positionResponsibilities• Lead in gathering requirements, analyzing data, programming data models, developing impactful reports, dashboards, and visualizations. • Conduct rigorous data analysis to drive meaningful financial benefit for PayPal. • Perform deep dive analysis including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections and other ad-hoc analysis. • Synthesize large volumes of data and develop data models to enable development of key business metrics.• Clean, manipulate, and merge data from diverse datasets to create compelling data stories. • Collaborate with product engineering and data engineering to enable feature tracking and resolve complex data issues. • Partner with data engineers, product engineers and data scientists to build robust data structures. • Collaborate with cross-functional analytics teams for exploratory data analyses to guide customer experience strategy. • Partner closely with product leaders to understand new product offerings and recommend metrics to measure performance.• 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 at the same time in a fast-paced environment. Requirements• 7+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions. • 7+ years of recent SQL development (like Teradata, Big Query) and scripting languages (like Python, R). • 7+ years of progressively responsible experience in software engineering, business intelligence or data analysis.• Strong experience using Jupyter Notebooks and scripting to perform data analytics. • Bachelor's degree or foreign equivalent in Computer Science, Information Technology, Mathematics, Software Engineering, or closely related quantitative discipline. • Proven understanding of commercial product data and how to leverage it for business decisions. • Working knowledge in relevant reporting technologies: Tableau, Looker. • Understanding of statistics (e.g. regression, correlation, hypothesis testing, statistical inference).• Understanding of 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. Nice-to-haves• Experience in product analytics. • Ability to drive collaboration within a matrixed environment. Benefits• Flexible work environment. • Employee shares options. • Health and life insurance. Apply tot his job