Manager, Analytics and BI

Is this role right for you?

- In this role you will:

• Analytics Project Management
• In this role, you will work collaboratively with business partners to understand their needs, explore business problems, create analytics solutions, and share insights in ways that are clear, practical, and useful.
• Manage projects through the full project lifecycle, including
• Scope out projects by creating requirements, timelines, project scope, etc.
• Create scalable analytical outputs, including new data sets, dashboards, reusable data assets, actionable insights, and deep-dive analytics that support business growth, transformation priorities, and improved customer outcomes.
• Create artifacts, such as project plans, documentation, data lineage, metadata, metrics definitions etc.
• Present analytical outputs using clear storytelling, compelling visuals, and practical recommendations that help business partners and senior stakeholders make informed decisions.
• Build inclusive, cross-functional connections across data requests from diverse teams to reduce duplication, streamline priorities, and create shared value across channels and business partners.

2. Stakeholder Management

• Act as a trusted analytics partner with Channel teams, including Digital, Branch, Contact Centre, ABM, and other key stakeholders, by listening to business needs, identifying opportunities, and recommending data-driven solutions.
• Share findings and recommendations with senior leadership in scheduled and ad hoc forums, using clear visuals, slides, and storytelling to create understanding, invite discussion, and support informed decisions.
• Engage in regular meetings with business lines and functional stakeholders to understand their priorities, share perspectives, and suggest data analysis or visualizations that help support business growth.
• Collaborate with other Data, Technology, and Analytics partners
• Promote data literacy with partners and key stakeholders by helping build shared understanding of available data, tools, and analytical approaches.
• Encourage data-informed decision-making by making insights accessible, relevant, and actionable for a range of audiences.

What's in it for you?

• Proactively suggest project ideas, data process improvements, or value opportunities
• Investigate and become an expert in available data sources, determine how they can be transformed and interpreted for analysis, identify gaps, and develop action plans to address them.
• Develop reusable and scalable data assets using business acumen, statistical methods, visualization techniques, and modern analytics tools.
• Conduct analysis using descriptive or advanced techniques on massive volumes of structured and unstructured data to create actionable insights
• Collaborate with business stakeholders and technical partners to establish trends, understand performance, identify opportunities for growth, and provide actionable insights
• Develop analyses, reports, and insights that help partners make tactical, operational, and strategic decisions in support of business goals.

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

• Education in Business, Computer Science, Computer/Software Engineering, Mathematics, Analytics, or a related field, or equivalent practical experience
• Strong communication skills, with the ability to explain insights clearly to technical and non-technical audiences
• End-to-end analytics experience, including exploring, cleaning, aggregating, and consolidating data; creating analytical outputs; synthesizing information in easy-to-understand formats; and communicating findings to business partners
• Project management skills or experience coordinating work across multiple priorities, partners, or deliverables
• Experience querying and working with large data sets, with exposure to an Enterprise Data Lake, Enterprise Data Warehouse, or Cloud environment considered an asset
• Ability to manage the planning, processes, and coordination of multiple projects
• Experience with data visualization tools such as Power BI, Looker, Tableau, Genie, or similar platforms
• Experience with at least one programming or querying language, such as SQL, Python, R, SAS, BigQuery, or Databricks
• Experience in banking, financial services, or another customer-focused industry
• Experience in contact centre, branch, digital, or channel performance analytics
• Experience building models, analytical frameworks, or decision-support tools

Working Conditions:

• Work in a standard office-based environment; occasional non standard hours may be required to meet business or reporting deadlines.
• Location: 44 King St West, Toronto
• Hours: Monday - Friday, 9 am - 5 pm EST