Specialized Analytics Lead Analyst, Vice President

Overview

As a Vice President–level Sales Analytics Manager, you’ll design and deliver sales performance intelligence for Citi’s global client franchise. You will own analytical frameworks, data methods, and self-serve capabilities that empower senior leaders with commercial insights. Working across data, finance, and client strategy, you’ll translate inputs into actionable intelligence and support decision-making at the highest level. You’ll shape monthly productivity metrics, client value methodologies, and executive-ready reporting to drive strategic outcomes. This role offers ownership of analytics evolution, including AI-assisted dashboards and cross-functional collaboration at scale.

Pay / Benefits

• hybrid working model: 3 days in office, 2 days remote
• ownership of analytics function
• visibility with senior management
• professional development opportunities
• wellbeing support
• financial benefits

Responsibilities

• Design and deliver Monthly Sales Productivity Metrics for senior management review
• Develop and maintain client value methodologies across countries and regions
• Consolidate client feedback data from RM meetings, call reports, and CRM systems to produce actionable intelligence
• Create a monthly Client One Pager for Citi’s largest clients with senior-ready content and structure
• Collaborate with Finance, Coalition, and Client Insight teams to source and validate metrics and data
• Build and implement a self-serve analytics strategy with AI-assisted dashboards in partnership with Mumbai Analytics team

Key requirements

• Ability to design clear, intuitive data visualizations for senior audiences
• Experience defining analytical methodologies for recurring reporting with emphasis on accuracy and consistency
• Ability to source, integrate, and synthesize data from multiple internal teams and systems
• Effective cross-functional collaboration across finance, client coverage, and data functions
• Hands-on experience building self-serve analytics, including dashboards and automation of manual reporting
• Comfortable working independently and engaging with senior stakeholders

• Cross-functional collaboration
• Independent work style
• Stakeholder management
• Data visualization and analytics outputs for senior audiences
• Self-serve analytics development and dashboard automation
• AI-assisted analytics tools or platforms (conceptual)

…