About The Role:
This is a SQL-first analytics role where you'll spend the majority of your time writing, optimizing, and maintaining SQL queries that power global customer support reporting. You'll be responsible for building and maintaining the data infrastructure that field managers and senior leadership rely on for daily decision-making.

What We're Looking For:
We need someone who enjoys solving problems and writing SQL. If you're more comfortable in Python/R doing statistical modeling than writing joins and aggregations in SQL, this role may not be the best fit.

Core Responsibilities:
SQL Development & Data Management
- Write, debug, and optimize complex SQL queries daily using PrestoSQL/Spark to transform raw data into reliable reporting datasets.
- Build and maintain backend data pipelines and processes that feed operational dashboards.
- Perform data quality control and validation to ensure accuracy across reporting systems.
- Refactor and improve existing queries for performance and maintainability.
- Conduct data wrangling and schema analysis to understand data structure and relationships.

Data Analysis & Subject Matter Expertise
- Deep dive into operational data to understand support workflows, become a subject matter expert, and identify data gaps or quality issues.
- Perform ad hoc SQL-based analyses to investigate performance anomalies and operational blockers.
- Partner with stakeholders to translate business questions into technical data requirements.

Visualization & Reporting
- Build and maintain Tableau dashboards that provide frontend access to your SQL-generated datasets.

What the Candidate Will Do:
Strong SQL proficiency:
- You should be comfortable writing complex queries including:
- Multi-table joins (inner, left, right, full outer)
- Subqueries and CTEs (Common Table Expressions)
- Logic-based (CASE WHEN) and conditional statements
- Window functions
- Date/time manipulation

Data manipulation tools: Advanced Excel or Google Sheets for analysis and validation.
Data literacy: Understanding of data types, schema design, and data quality concepts.

Basic Qualifications:
- At least 2 years experience in analytics.
- Strong analytics, SQL, and web query skills.
- Experience within Python or R and visualization tools.
- Strong stakeholder management skills.

Preferred Qualifications:
- Stakeholder management and the ability to translate business needs into technical solutions.
- Self-directed work style with strong attention to detail.
- Clear written and verbal communication.
- Experience with PrestoSQL, Spark SQL, or similar SQL variants.
- Data visualization experience (Tableau, Looker, Power BI).
- Previous experience building data pipelines and processes.
- Familiarity with data warehousing concepts.
- Experience working with large datasets and performance optimization.

For Chicago, IL-based roles: The base hourly rate amount for this role is USD$34.50 per hour.

You will be eligible to participate in Uber's bonus program, and may be offered other types of compensation. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

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 fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.