Senior Data Analyst, FinOps & Predictive Analytics

Uber; Dallas (TX); On-site; USD 118,000 - 131,000; Full time

Job summary

Uber’s FinOps Analytics team seeks a Senior Data Analyst to deliver critical information and analyses that drive strategic decisions for Finance Operations. The role focuses on BI dashboards, data transformations, and predictive analytics to improve working capital and cash flow.

You will collaborate with stakeholders, design metrics, and enable automation to support leadership decisions while advancing analytics capabilities including cloud-based tools and AI-enabled workflows.

Qualifications

• 3+ years of experience in finance analytics or a related field.
• Experience with Tableau or similar data visualization tools.
• Strong expertise in SQL.
• Bachelor's Degree in a quantitative, analytics, or statistics field.

Responsibilities

• 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 and understand potential financial outcomes based on business strategies.
• Perform ad hoc analyses and create reports as requested by leadership to support strategic initiatives and decision-making.
• Drive automation and innovation for reporting, leveraging data science tools to improve efficiency and accuracy.

Skills

Analytics experience

SQL

Education

Bachelor's degree in quantitative field

Tools

Tableau

Oracle Cloud

AWS

Azure

Job description

Uber’s FinOps Analytics team seeks a Senior Data Analyst to deliver critical information and analyses that drive strategic decisions for Finance Operations. The role focuses on BI dashboards, data transformations, and predictive analytics to improve working capital and cash flow.

You will collaborate with stakeholders, design metrics, and enable automation to support leadership decisions while advancing analytics capabilities including cloud-based tools and AI-enabled workflows.