Director, Data Analytics

About the role

The Director of Data Analytics will lead a high-performing team of data analytics professionals, driving deep insights into key company revenue metrics and leading major business intelligence initiatives. This role serves as a vital strategic partner, bridging the data needs of the Sales and Finance organizations to ensure consistent data-informed decision-making across the entire company.

Responsibilities

• Team Leadership & Development: Lead, mentor, and inspire a team of data analytic professionals, championing a culture of continuous improvement, data rigor, and analytical excellence.
• Revenue & Metric Ownership: Directly drive the development and delivery of robust analytical solutions and reporting for core company revenue metrics, including Annual Recurring Revenue (ARR), Net ARR, and Annual Contract Value (ACV).
• Strategic Partnership: Serve as the primary analytical liaison and strategic partner to executive and functional leaders within the Sales and Finance teams, ensuring all reporting and analytical frameworks meet strategic business needs.
• Data Modeling & Architecture: Design, implement, and maintain scalable, efficient data models that accurately translate complex business requirements and processes into reliable data structures for reporting and analysis.
• Data Warehousing Oversight: Oversee and guide the strategy, development, and maintenance of enterprise data warehousing initiatives, ensuring they are optimized for performance and future scalability.
• Data Governance & Quality: Establish and enforce stringent standards for data accuracy, consistency, and reliability across all business intelligence platforms and reports, acting as a steward for enterprise data quality.
• Project Leadership: Lead complex, cross-functional strategic projects focused on advancing revenue analytics capabilities and modernizing the overall business intelligence infrastructure.

Requirements

• Extensive Experience: A minimum of 15 years of progressive experience in data analytics, business intelligence, or a related field, with at least 4 years spent in a dedicated leadership or director-level role managing a global professional analytics teams in fast growing companies.
• Technology Integration: Demonstrated experience and ability to lead the assessment, integration, and deployment of Generative AI (GenAI) technologies to enhance analytics workflows, improve data preparation, and drive innovative analytical solutions.
• Technical Domain Expertise: Strong, in-depth understanding of Salesforce architecture, data models, and standard/custom objects, with proven ability to extract and utilize Salesforce data for revenue analysis.
• Data Skill Mastery: Expert-level proficiency in writing and optimizing complex SQL queries. Deep, practical experience in data modeling methodologies (e.g., Kimball, Inmon) and implementing production-level data models within a data warehouse environment.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.