Manager, Data Analytics & Reporting overseeing enterprise-wide data strategy and analytics functions at the Condominium Authority of Ontario. Leading a high-performing team to enhance business performance with data-driven insights.
Responsibilities
Provide strategic and people leadership for the enterprise-wide data strategy, business intelligence, and analytics functions
Lead a high-performing data analytics team to build the informational needs for business operations
Operationalize a multi-year business intelligence and data analytics strategy
Manage all aspects of data management, including data governance, collection and stewardship, data quality, and integration and modelling
Work with the IT department on enhancements to the data architecture and development of the data warehouse
Support enterprise business teams in the use of data for service enhancements and decision-making
Leverage the use of advanced analytics and machine learning/AI as applicable
Work closely with the VP/Deputy Registrar and Compliance Team Lead on compliance activities as laid out by the Condo Act
Create and modify reports and dashboards to increase compliance
Monitor the status of all KPIs and analyze potential compliance risks
Requirements
University Degree in Business, Engineering, Computer Science, or a combination of education and experience
Minimum 5+ years of experience in data analytics, data strategy (management and governance), business intelligence, digital solutions, and performance measurement
Extensive project management experience in managing data functions to deliver excellence in data governance, analytics, and business intelligence
Advanced level in Power BI skills for development and enhancements of data models and dashboards
Experience with analyzing structured and unstructured datasets to develop insights from large volumes of data
Ability to handle multiple work demands from different projects and deliverables
Strong problem-solving skills and ability to break down complex problems and articulate creative solutions
Experience in developing dashboards, visualizations, and analysis using tools like Informatica, Power BI, Tableau, SPSS etc.
Advanced experience using scripting languages (SQL, Python, R) for data extraction, transformation, automation, and analysis
Experience with data manipulation and integrity checking for a variety of data types to transform data for reporting and analytics
Experience with data modelling and logic of how data models are built
Experience with building and maintaining data warehouse solutions to streamline business processes by aggregating large amounts of data
Experience with data architecture, data integration/ extraction, transformation, and loading (ETL), data warehousing, and/or BI deployment on Azure cloud
Experience with the use of machine learning tools for analysis and automation.
Demonstrated experience leading and developing high-performing teams
Experience with partnering with senior/executive leadership to advise and support decision-making
Proven ability to lead change, including new tools and processes.
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