Senior Data Analyst

About the Role

We are seeking a highly motivated and technically adept Senior Data Analyst to join our Data Engineering and Sharing Solutions Team, specializing in Ethics Compliance & Security data. In this high-impact role, you will be the technical bridge between complex data ecosystems and global regulatory requirements. You will assist in architecting data-sharing solutions and defining the rigorous SQL logic and Data Quality (DQ) frameworks that ensure our safety data is accurate, compliant, and audit-ready. To succeed, you must balance deep-dive technical work with the ability to consult cross-functionally, translating ambiguous legal needs into scalable analytical products.

What the Candidate Will Do

1. Define Reporting Logic: Develop and refine the core SQL transformations and business logic that serve as the "single source of truth" for all compliance and safety datasets.
2. Define Data Quality (DQ) Standards: Establish and implement automated DQ frameworks and validation scripts to ensure data integrity before it reaches external regulators.
3. Assist in Solution Architecture: Collaborate on the design of data-sharing frameworks that allow Operations teams to fulfill law enforcement and regulatory requests at scale.
4. Technical Consultation: Serve as the primary analytical point of contact for Legal and Public Policy teams, translating complex regulatory requirements into precise technical specifications.
5. Drive Scalability: Identify patterns in recurring data requests and build the technical documentation and modular workflows required to automate fulfillment.

What the Candidate Will Need

1. 4+ years of experience in data analytics, with a focus on logic building and data modeling. B.Tech/B.E. or equivalent degree in a quantitative field (Statistics, Computer Science, etc.) and background in Compliance, Risk, or Public Safety within FinTech, InsurTech, or a similar high-stakes environment.
2. Advanced SQL Mastery: Expert-level ability to query multi-layered databases (CTEs, Window Functions) and build optimized data transformations.
3. Data Quality Expertise: Proven track record of defining validation rules, exception reporting, and audit-ready datasets.
4. Analytical Solution Design: Experience designing "self-service" data products or modular logic that enables other teams to execute with autonomy.
5. Privacy Mindset: Deep understanding of data privacy (PII handling) and the technical nuances of data redaction.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.