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Senior Manager, Strategic Analytics Lead

2 months ago

Toronto, Ontario, Canada Scotiabank Full time
Job Title: Senior Manager, Strategic Analytics

Scotiabank is seeking a highly skilled Senior Manager, Strategic Analytics to join our team. As a key member of our Insurance Canada business, you will be responsible for leading the analytics efforts supporting growth initiatives aimed at deepening customer engagement, customer insight, and increasing the relevance of Insurance in driving sales.

Key Responsibilities:
  • Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
  • Oversee the execution of all projects covering Creditor and D2C growth initiatives, including involvement in all project stages from intake, prioritization, tracking, and presentations to stakeholders and senior executives.
  • Lead the development of a single, 360-view of a customer to make decisions about how to best acquire and retain customers, identify high-value customers, and manage channel preference and risk.
  • Support Planning and Forecasting for Insurance Canada.
  • Develop customer analytics, customer-level reporting, and dashboards with a single view of the customer to provide timely and accurate customer insights to key internal stakeholders.
  • Support with auditing and troubleshooting data problems as needed.
  • Interpret marketing and customer data to identify new opportunities on how to best target and appeal to customers.
  • Deliver timely, high-quality initiatives supporting growth strategy, while actively contributing to the overall growth strategy with Product and Marketing teams.
  • Provide data discovery and deliver key actionable insights based on customer view of results.
  • Synthesize data to identify trends and deliver key insights and business recommendations.
  • Partner with key internal stakeholders, including Marketing, Merchandizing, and Operations teams, to provide strategic insights and recommendations.
  • Support key information technology initiatives, such as enhancements in single view of customer.
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Champion a high-performance environment and contribute to an inclusive work environment.
Requirements:
  • Post-secondary education focused in Actuarial Science, Computer Science, Finance, or Statistics; MBA in Finance or Marketing preferred.
  • SAS programming expertise; SAS Institute Certification is highly desired.
  • Several years of experience in programming, analytics, reporting, and/or data warehousing.
  • Experience developing customer propensity models, AI/ML.
  • Detailed experience in Unix, Mainframe, SQL, SAS, Hadoop, Python, and other tools to produce data sets, analyses, tabulations, graphics.
  • Strong working knowledge of Power BI, Tableau.
  • Strong knowledge and proficiency with building models.
  • Strong prioritizing, planning, analytical, presentation, project management, people management, and relationship building skills.
  • Excel programming and Microsoft Access skills including queries, forms, reports, and macros.
  • The ability to apply advanced analytical and statistical techniques to solve business questions.
  • The ability to manage multiple projects spanning across various systems, regulatory bodies, and special requirements.
  • Previous experience supporting Retail Banking/Insurance Products teams is highly desirable.