Senior Data Analyst

About The Team

The FinOps Analytics team, central to Uber's Financial Operations, provides crucial insights across Procure-to-Pay (P2P), Travel & Expense (T&E), and Order-to-Cash (OTC). We partner with Fintech to develop data transformations and publish over 80  business facing Dashboards. Our work drives strategic metrics, scales operations, and improves working capital and free cash flow through targeted ad-hoc analysis.

About The Role

We are looking for a stellar Senior Data Analyst at Uber!

Our team is responsible for delivering critical information and analyses that drive strategic decisions within Uber Financial Operations. We equip ‌our partners and stakeholders with timely, accurate, and actionable insights to achieve their objectives. Simply put, while FinOps manages the engine of Finance's operational transactions, Analytics provides the compass - leveraging business intelligence and analytics tools and dashboards to chart our course. Our vision is to strengthen our expertise in machine learning and predictive analytics utilizing cloud and generative artificial intelligence based capabilities to proactively transform FinOps workflows, and that's where your skills become essential.
 

What The Candidate Will Do

• Own the full lifecycle of operational metrics-from KPI design to dashboard deployment and stakeholder adoption to design metrics that drive accountability, surface inefficiencies, and guide automation
• Utilize predictive modeling techniques to support scenario analysis, helping the FinOps team to understand potential financial outcomes based on various business strategies
• Perform ad hoc analyses and create reports as requested by leadership to support strategic initiatives and decision-making
• Drive automation and innovation efforts for reporting, leveraging data science tools to increase efficiency and accuracy
   

Basic Qualifications

• 3+ years of work experience in finance analytics, business analytics, data analytics and/or within a similar field
• Experience with Tableau and or similar data visualization tools
• Strong Expertise in SQL
• Bachelor's Degree or equivalent experience in a quantitative, analytics and or statistics field.

Preferred Qualifications

• Experience with Oracle Cloud, AWS, Azure or similar cloud based analytics environments.
• Exceptional problem-solving abilities, with a keen eye for detail and a data-driven approach to decision-making
• Experience and expertise in analytical databases, data warehousing, and data modeling
• Experience in data science, financial analytics, or a similar role with a focus on financial data.
• Experience in AI enablement for complex analytics environments.
• Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences.
• Strong sense of ownership and accountability
• Curious, self-directed, and impact-driven - you chase high-impact problems to deliver solutions.
• Comfortable with ambiguity and switching contexts in a fast-moving environment