About The Role

The Global Strategy & Planning team supports the Delivery Leadership to define our strategy globally and work collaboratively across all functions and markets to improve alignment and execution. This role is analytics-focused as part of the Data Infrastructure pod. You will play a key role in streamlining various use cases including reporting, Ops analytics, and automations on a global level.

By building scalable data workflows and complex dashboards, while collaborating closely with engineering, data science, and cross-functional stakeholders, you will enable fast data-driven decisions at Uber.

What The Candidate Will Do

• Data Pipeline Engineering: Write and maintain scalable data pipelines (ETL/ELT) to ensure timely availability of high-quality data.
• Reporting Infrastructure & Dashboards: Build automated reporting products to deliver actionable insights.
• Collaboration: Partner with stakeholders to understand data requirements and deliver scalable solutions.
• Data Modelling: Develop models to support Ops analytics.
• Tooling Creation: Design and implement automations.
• GenAI: Experiment with GenAI for automating insight generation.

Basic Qualifications

• MSc or 2+ years of experience in data analytics or similar roles.
• Strong SQL skills for data manipulation and query optimization.
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills with attention to detail.
• Effective communication to share insights with stakeholders.

Preferred Qualifications

• Experience with orchestration tools (e.g., Apache Airflow).
• Experience with Python-based dashboarding solutions (Streamlit, Flask).
• Familiarity with data visualization tools (Looker, Tableau).
• Knowledge of data modeling concepts.
• Experience with cloud data warehousing (BigQuery, Snowflake).