About the Role
We are seeking a highly motivated and analytical Senior Data Associate for Global Sales Operations to join our Delivery Commercial Operations (DCO) team. This role is part of the Global Insights, Analytics & Compliance function and plays a critical part in delivering data-driven insights that power decisions across Uber's global Delivery business.
As a Senior Data Associate, you will partner with cross-functional teams and regional stakeholders to produce analyses and tools that scale across regions and verticals. You will work across Uber's marketplace, Direct, Retail, Ads, and Digital Sales Center businesses to support commercial effectiveness and strategic initiatives.
What You'll Do
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- Analyze commercial performance trends across global Delivery verticals to generate actionable insights that influence sales strategy, operations, and planning.
- Design and build scalable reporting solutions (dashboards, datasets) to empower decision-making across regional DCO teams.
- Collaborate with Data Governance and Edge Analytics counterparts to ensure consistency and accuracy in reporting and metric definitions.
- Translate ambiguous business questions into well-defined data problems and deliver insights through clean, compelling data narratives.
- Support quarterly and annual planning efforts with data inputs, forecasting trends, and key performance analytics.
- Participate in global analytics projects including quota setting insights, seller productivity modeling, and funnel optimization.
- Proactively identify data quality issues or opportunities for improvement in analytics tooling and reporting.
- Communicate findings to stakeholders at various levels, adjusting content and complexity to suit the audience.
Basic Qualifications
- 4 years of experience in data analytics, business intelligence, or similar analytical role
- Proficiency in SQL and ETL
- Intermediate knowledge of scripting language (e.g., Python or R).
- Experience working with large datasets, data modeling, and creating dashboards (e.g., Tableau, Looker, etc.)
- Bachelor's Degree
Preferred Qualifications
- Experience supporting sales, operations, or GTM analytics in a commercial environment.
- Familiarity with Uber's data stack and tools, or previous experience in a marketplace or B2B tech environment.
- Knowledge of statistics or predictive modeling techniques is a plus.
- Ability to thrive in a fast-paced, constantly evolving, and highly collaborative environment.
- Strong communication skills, with the ability to translate complex data into clear and actionable business insights.
- Strong problem-solving skills and business acumen; able to work independently on a range of challenges.
- Demonstrated ability to collaborate cross-functionally and manage stakeholder needs across a matrixed org.
- A passion for Uber's mission and a drive to make data useful and impactful.
For Chicago, IL-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action 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.