Sr Analyst, Data Analytics
Role details
Job location
Tech stack
Job description
Job Duties: Lead in gathering requirements, analyzing data, and programming data models to develop impactful reports, dashboards, and visualizations to drive PayPal's service experience strategy. Conduct rigorous data analyses on user experience reports to drive meaningful financial benefits for PayPal using SQL and scripting languages (like Python/R) with a deep understanding of structured and unstructured databases. Perform deep dive analytics including causal inference analysis, pre & post analysis, sensitivity analysis, financial projections, and other ad-hoc analyses on PayPal's product and customer experience data to identify and address customer pain points. Synthesize large volumes of data and develop data models to enable the development of key business metrics. Clean, manipulate, and merge data from diverse datasets to enable the creation of compelling data stories. Collaborate with product engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines. Partner with data engineers, product engineers, and data scientists to build robust data structures and streamline multi-system processes. Work with analytics teams during rigorous exploratory data analyses to guide customer experience strategy, analyze business performance and health, triage issues, and create executive-friendly info-insight packets. Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features. Perform and evaluate complex experiments (A/B Testing) and related concepts. Utilize data-driven insights to brainstorm and refine engagement strategies, ensuring a measurable impact on incremental engagement and revenue. Define, track, and refine KPI frameworks to evaluate servicing experience and product performance, and cultivate best practices in analytics instrumentation and experimentation. Design and develop high-quality dashboards and analytical tools using Tableau and conduct reproducible analyses in Jupyter Notebooks. Develop domain expertise in Servicing and Customer Experience to inform analysis and recommendations. Manage and deliver multiple analytics projects concurrently in a fast-paced, results-oriented environment. Partial telecommuting permitted from within a commutable distance.
Requirements
Minimum Requirements: Bachelor's degree, or foreign equivalent, in Management Information Systems, Data Science/Analytics, or a closely related field plus seven years of experience in the job offered or a related occupation
Special Skill Requirements:
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SQL (Structured Query Language) - Data extraction, transformation, and analysis from large-scale relational databases preferably Big Query (7 years).
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Jupyter Notebooks - Data analysis, experimentation, and automation (5 years).
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Business Intelligence & Reporting - Designing KPI-driven reports and dashboards for decision-making, preferably Tableau (5 years).
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Data Strategy & Gap Analysis - Identifying business inefficiencies, building solutions and developing scalable data-driven strategies (5 years).
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Presentation & Storytelling with Data - Identifying the anomalies and translating complex analysis into actionable insights for stakeholders (3 years).
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Product Analytics & Cross-Functional Collaboration - Partnering with product, engineering, and data science teams to define key product metrics, evaluate feature performance, and translate insights into product strategy decisions that enhance customer experience and business outcomes (3 years).
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Statistical Analysis - Applying statistical techniques to identify trends, correlation, statistical tests and their inferences (2 years).
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ETL & Data Pipeline Management - Working with structured/unstructured data flows across business systems (2 years).
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Customer Experience Analytics & Journey Optimization - Analyzing customer experience data to identify pain points, optimize user journeys, and improve satisfaction and retention across servicing and product channels (2 years).
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KPI Design & Business Metrics Development - Defining, validating, and standardizing key performance indicators that measure operational efficiency, customer experience, and product success (2 years).
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A/B Testing & Experimentation - Designing, implementing, Hypothesis Testing and analyzing controlled experiments (1 year).
Additional Responsibilities & Preferred Qualifications:
EOE, including disability/vets.
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is
Benefits & conditions
Austin, Texas | Salary: $148,741.00-193,600.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Must be legally authorized to work in the U.S. without sponsorship
Subsidiary: PayPal
Travel Percent: 0
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.