Director, Business Intelligence

Job Title Director, Business Intelligence & Analytics Job Type Full-time Location The Royal Conservatory - Toronto, ON M5S 1W2 CA (Primary) Job Description The Royal Conservatory (RCM) is one of the largest and most respected music education institutions in the world, providing the definitive standard of excellence in curriculum design, assessment, performance training, and teacher certification. Graduates from its two performance training programs, The Glenn Gould School and The Phil & Eli Taylor Performance Academy for Young Artists, regularly perform on major international stages. The RCM is also a leader in the development of early childhood education programs and arts-based social programs, and presents a diverse range of concerts featuring the finest Canadian and international artists in its magnificent performance space, Koerner Hall. Please visit www.rcmusic.com for more information. What is the Opportunity? Reporting to the Senior Vice President of Learning Systems, the Director, Business Intelligence & Analytics is the “go-to expert” for efforts that will inform and lead data-driven metrics, analysis, visualizations, and storytelling. As a partner to business development operations and marketing teams, this role is responsible for aligning and transforming data into clear actionable visual insights to support business decisions necessary to lead short- and long-term objectives, strategies, tactics, and business outcomes.  Main Duties & Responsibilities Champion Data-Driven Decision-Making:  • Promote the strategic use of data as a key business enabler, identifying and unlocking opportunities to optimize revenue growth, market entry, pricing, and profitability across the organization. Inform Organizational and Divisional Strategic Direction with Data Insights: • Deliver digestible, high-impact insights to C-level executives and senior leaders across Business Development, Marketing, Academic Office and Operations. • Provide analytics that support evaluation of new and existing products, revenue initiatives, customer segments and acquisition opportunities. Develop Pricing & Promotion Strategies: • Build and maintain pricing elasticity models and price optimization algorithms using advanced statistical techniques. • Design promotion optimization models (e.g., uplift/response) to enhance targeted marketing and segment offers. • Lead experimentation strategies (A/B testing, geo lift studies) to measure the causal impact of pricing and promotional initiatives. Establish Measurement Frameworks: • Lead the development and implementation of KPIs, dashboards, and reporting tools that provide actionable insights and performance visibility to drive sales growth, strategic and tactical decisions. • Build self-service analytics capabilities for internal stakeholders to monitor performance and identify areas for growth to ensure analytics projects meet business needs Advance Customer and Loyalty Insights: • Design, deliver, and analyze dashboards and surveys for internal business partners to assess health and impact of business, marketing and promotion efforts. • Provide analytics to support the effectiveness and evolution of revenue and customer acquisition and recognition initiatives. • Creating dashboards and reports for various stakeholders. • Conducting in-depth analyses of sales data to identify opportunities for growth. • Providing actionable recommendations based on data insights. Collaborate Cross-Functionally: • Work with business development, marketing, product, and data engineering teams to integrate analytical models into business workflows and decision systems. • Partner with business operations and marketing teams to improve data collection, analysis frameworks, and traffic generation strategies aligned with revenue growth. Enable Scalable Data Solutions: • Build robust, scalable data solutions that improve access to analytics and support growth-focused decision-making. • Improve existing processes and implement new systems to ensure the accuracy and integrity of data analysis. Support Growth & Risk Assessment: • In collaboration with leadership, assess growth opportunities and provide data-driven recommendations to position the organization for sustainable success. • Identify and mitigate risks through quantitative analysis and forecasting. Act as Analytics SME: • Advise internal teams on optimal methodologies, tools, and analytical approaches to address key business questions. • Stay current with industry trends and innovations to ensure best practices are applied. Perform Other Duties as Required: • Participate in management meetings and contribute strategic insights as needed. Job Requirements What We’re Looking For • 6 - 8 years of progressive experience with business intelligence, data warehouse technical architectures, data modeling and reporting/analytic tools and forecasting. • Post-secondary degree in a related field such as Business Administration, Economics or Statistics, Information Systems, Mathematics, or Computer Science, • Demonstrated experience with qualitative data science/business intelligence with significant business impact. • Experience with BI reporting tools and forecasting. • Knowledge of reporting tools/dashboards (Tableau, Power BI, Google Analytics, Google Tag manager, Tibco, etc.). • Advanced knowledge in with database and queries (i.e.: SQL, Python, R, etc.). • Strong technical background in analytics, applied data science, and reporting across areas such as marketing attribution, experimentation, optimization techniques, data engineering & architecture, statistics, financial modeling and behavioral analytics. • Extensive experience in measuring online and offline marketing and sales strategies using various methodologies such as incrementality, attribution and cross-channel interaction. • Strong understanding on how the data should be captured, stored and structured in a data warehousing environment. • Ability to collaborate, communicate and influence across various internal stakeholders. • Detail oriented and takes ownership of work, with the ability to lead and manage tight project deadlines. • A self-starter with a curious and learning mindset. Salary Range • $120,000 - $140,000 per annum. Additional Information • Hybrid work arrangement, working on-site at least 3 days a week, inclusive of all staff Community Days. • Office environment with the occasional requirement to work outside of regular business hours. • Works with confidential data. • Extended periods of sitting and PC use.