PayPal - Austin, TX
posted 4 days ago
About the position
We are actively looking for a highly motivated and talented Senior Data Analyst to become an integral part of the Credit Data Platform team. In this role, you will collaborate closely with various stakeholders, including business leaders and technical teams, to define, design, and implement state-of-the-art, large-scale cloud-based data platforms that meet the evolving needs of our organization. The Credit Data Platform focuses on deploying innovative, best-in-class cloud-based data solutions. Your contributions as a Senior Data Analyst will be essential in delivering data solutions that ensure high availability and scalability. You will analyze complex datasets, derive meaningful insights, and help to create data-driven platforms that significantly enhance our business operations and decision-making processes, making your role crucial to our organization's success.
Responsibilities
- Identifying and refining current and future-state business processes by performing deep-dive analysis of the current state and proposing future-state solutions effectively using clear and precise documentation.
- Collaborate closely with the engineering team and provide ongoing support to help implement end-user requirements.
- Ensure the consistency and quality of data solutions completed by the engineering team.
- Work cross-functionally and cultivate strong partnerships with business stakeholders, business leads, subject matter experts, and technical staff to gather and develop business needs in technical requirements.
- Firm understanding of business processes and data platforms to design/deliver scalable data solutions to support customer needs.
Requirements
- Bachelor's degree in computer science or engineering discipline with a solid quantitative aptitude.
- 5+ years of experience in Data Analysis, Business Systems, or similar role.
- Good understanding of database principles and hands-on experience in advanced SQL to perform complex analysis.
- Good understanding of data movement and optimization of ETL processing of vast datasets with specified SLAs.
- Expert knowledge of data modeling concepts; experience with data modeling and generating metadata to support relational & non-relational database implementations; experience building logical and physical data models.
- Strong communication skills, both written and verbal, and skilled at adjusting communication style/vocabulary to an audience's role/function and technical familiarity.
- Knowledge and understanding of financial services, especially the credit systems.
Nice-to-haves
- Excellent Knowledge of Big Query and python programming is a plus.
- Documentation of data platforms for easy business consumption.
Benefits
- Flexible work environment.
- Employee shares options.
- Health and life insurance.
- Resources to help you care for your financial, physical, and mental health.
