Director, Business Intelligence

About the Role

Key Responsibilities

• Establish and enforce data governance frameworks to ensure consistent, accurate, and secure data across the organization.
• Standardize data processes to support effective decision-making.
• Develop and execute a comprehensive Business Intelligence strategy aligned with business objectives.
• Partner with finance, technology, marketing, and strategy teams to ensure data is accessible, reliable, and actionable.
• Collaborate with Data Engineering and Technology teams to enable data flow, develop tools, and inform analytics product design.
• Support integration of predictive analytics, machine learning, and AI for proactive decision-making and scenario planning.
• Implement Business Intelligence tools and dashboards to provide real-time insights for stakeholders.
• Lead and develop a team, fostering a culture of innovation, collaboration, and continuous improvement.
• Provide guidance on BI best practices, professional development, and career growth.
• Work closely with senior leaders to understand business needs and translate them into BI solutions.
• Verify model capabilities with domain experts and translate statistical outputs into business language.
• Identify opportunities for process improvements and implement best practices in data management, reporting, and analytics.
• Stay current with BI trends, tools, and technologies to maintain a competitive edge.

Requirements

• 8-10 years of professional experience within a data-driven consumer product organization or consulting firm.
• In-depth knowledge of Ecommerce.
• Fluency in translating complex data into actionable insights for multiple teams.
• Strong analytical, quantitative, and project management skills.
• Experience working cross-functionally among business stakeholders and technical teams.
• SQL fluency with hands-on experience in using SQL for complex data analysis.
• Demonstrated experience with statistical methods such as A/B testing, propensity scoring, segmentation, clustering, and regression analysis.
• Experience with cloud-based data platforms.
• Familiarity with data engineering and automation tools.
• Well versed in user behavior analytics tools (e.g., Google Analytics, Segment, Amplitude, Adobe Analytics).
• Proficient in key BI tools (e.g., Looker, Tableau, QlikSense, Domo, Thoughtspot, PowerBI).
• Excellent communication and presentation skills, capable of conveying complex concepts clearly.
• Effective leadership skills to guide teams through complex and ambiguous situations.

Nice to Have

• MBA degree.
• Knowledge of consumer brands or omni-channel retail experience.

Benefits & Perks

• Generous paid time off.
• 401k matching.
• Comprehensive health plans for you and your family.
• Supplemental mental health benefits.
• Monthly wellness reimbursement.
• Dog friendly offices.
• Employee Discount Program!