Vice President – Business Intelligence and Analytics

About the role

The VP – Business Intelligence & Analytics is a senior, hands‑on leader responsible for designing, building, and scaling the organization’s Business Intelligence and analytics capabilities. This role focuses on delivering highly interactive, executive‑grade dashboards for CxOs while enabling enterprise‑wide self‑service analytics through robust data models, governance, and BI best practices.

Key responsibilities

• Design, build, and maintain high‑impact, interactive Tableau dashboards for C‑suite executives and senior leadership.
• Optimize performance, usability, and scalability of all business intelligence dashboards and reporting.
• Architect and roll out self‑service BI capabilities, including governed datasets, certified data sources, and reusable semantic layers.
• Define BI standards, templates, and best practices that empower business users while maintaining governance and data quality.
• Drive BI adoption and analytics literacy across business functions.
• Design and maintain advanced analytical data models (star, snowflake, and hybrid) optimized for BI consumption.
• Write advanced SQL and Python to support complex transformations, calculations, and analytical logic.
• Lead, advise, and mentor junior BI developers, providing hands‑on guidance, technical coaching, and regular feedback.

Required profile

• 8+ years of hands‑on experience in Business Intelligence, analytics engineering, or data analytics roles.
• Proven experience delivering executive‑level dashboards for CxOs and senior leadership with a focus on clarity, storytelling, and decision support.
• Demonstrated success rolling out self‑service BI capabilities at enterprise scale, including governed datasets, certified metrics, and semantic layers.
• Deep expertise with Tableau (Desktop, Server/Cloud), including advanced dashboard design, performance tuning, and scalable deployment.
• Strong experience designing and maintaining analytical and dimensional data models (star, snowflake, hybrid).
• Hands‑on experience leading, mentoring, or acting as a technical authority for BI teams while remaining actively involved in dashboard development.

Required skills

• Tableau (advanced calculations, parameters, LOD expressions, performance optimization)
• SQL (advanced analytics, metric logic, complex transformations)
• Python (data preparation, advanced analytics, BI automation)
• Dimensional modelling and analytics engineering principles
• Version control for BI assets and CI/CD pipelines
• Semantic layer development and governed metric frameworks