Sr Data Analyst analyzing Firefox Gecko telemetry for Mozilla’s browser performance strategy. Building dashboards, sanitizing telemetry, and linking engine performance to user behavior.
About the role
- 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.
Benefits
- Competitive compensation
- Health benefits
- Pension matching
- Hybrid work environment
- Staff well-being and work-life balance
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