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About 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. This is a high-visibility role for someone who enjoys combining technical analytics, business strategy, and clear communication.
Responsibilities
- Manage projects through the full project lifecycle, including scoping projects by creating requirements, timelines, and project scope.
- 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, and metrics definitions.
- 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.
- 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.
- 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.
Requirements
- 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.
Skills
- Analytics Project Management
- Stakeholder Management
- Data Visualization
- Programming/Querying Languages (SQL, Python, R, SAS, BigQuery, Databricks)
- Data Analysis
- Business Acumen
- Statistical Methods
- Communication
Location
- 44 King St West, Toronto
- Toronto, Ontario, Canada
Work Type
- Office-based environment
- Occasional non standard hours may be required
Education Level
- Business, Computer Science, Computer/Software Engineering, Mathematics, Analytics, or a related field, or equivalent practical experience
About the Company
- Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
Equal Opportunity
- At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.