More jobs:
Manager, Analytics and BI
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-10-16
Listing for:
Scotiabank
Contract
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis, Business Intelligence, Data Science Manager
Job Description & How to Apply Below
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Title:
Manager, Analytics and BI (12 months contract)
Requisition Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Role
The Business Analytics Channels & Servicing Team partners with channel management and transformation stakeholders to deliver a comprehensive view of customer sales and service touchpoints across digital, branch, contact centre, ABM, and other assisted channels. This work influences how Scotiabank measures, improves, and transforms customer experiences across key journeys such as onboarding, investment management, service resolution, and cross-channel engagement.
The primary function of this role is to support cross-channel partners by prioritizing and managing analytics projects through the full project lifecycle and delivering high-impact analytical outputs, including dashboards, case studies, models, reusable data assets, and executive-ready insights that inform business decisions.
This is a high-visibility role for someone who enjoys combining technical analytics, business strategy, and clear communication. The successful candidate will be supported in performing complex analysis, translating findings into clear recommendations, and building trusted relationships with partners and senior leaders across different levels of technical expertise.
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.
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,…
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