Senior Analytics Lead: AI-Driven FinOps & Dashboards

Uber; San Francisco (CA); Hybrid; USD 185,000 - 205,000; Full time

Benefits offered by this job

Equity award

Bonus program

401(k) plan

Benefits

Job summary

Uber is seeking a Senior Analytics Leader in San Francisco to join FinOps Analytics. This hybrid role requires residency or relocation to SF and leads a global team of developer analysts, shaping KPI design, dashboards, and automation to drive financial performance.

You will partner with business leaders, translate needs into technical solutions, and advance AI-powered reporting while ensuring data privacy and governance across travel and spend data.

Qualifications

• Experience managing global teams.
• Project Management and Change Management.
• Proficiency in Tableau, Jira, Asana, Excel, G-Suite.
• Troubleshooting systems.
• 6+ years of work experience in finance analytics or related field.
• Experience with SQL.
• Bachelor's Degree

Responsibilities

• Manage a team of developer analysts in analytics.
• Own lifecycle of operational metrics from KPI design to dashboard deployment.
• Design metrics to drive accountability and surface inefficiencies.
• Utilize predictive modeling for scenario analysis.
• Perform ad hoc analyses and create leadership reports.
• Drive automation for reporting using AI and data tools.
• Lead a global team through coaching and reviews.
• Translate business needs into technical solutions and ensure data privacy.

Skills

Global team leadership

Project management

SQL

Analytical thinking

Data analytics

Storytelling with data

Education

Bachelor's Degree

Tools

Tableau

Jira

Asana

Excel

Google Data Studio

Python

Job description

Uber is seeking a Senior Analytics Leader in San Francisco to join FinOps Analytics. This hybrid role requires residency or relocation to SF and leads a global team of developer analysts, shaping KPI design, dashboards, and automation to drive financial performance.

You will partner with business leaders, translate needs into technical solutions, and advance AI-powered reporting while ensuring data privacy and governance across travel and spend data.