Manager, Data Analyst

Scotiabank • Toronto, ON

21h • Onsite

About The Position

The Manager, Data Analyst will work with Canadian Wealth Management Data Operations to provide data-driven solutions to various Wealth business applications data. This position involves maintaining data extraction, transformation processes, and reporting development to support regulatory, compliance and ongoing business operations.

Requirements

• A University degree in quantitative discipline (mathematics, science, computer science, or engineering)
• A minimum of 5 years of industry and business analysis experience
• An understanding in wealth business management
• Data Knowledge in wealth or financial related business
• In-depth knowledge of relational database concepts
• In-depth knowledge of Data analytics and Business intelligence
• SQL, AS400, Microsoft Access, Microsoft VBA, or VB .Net, and Sybase
• The ability to adapt to change quickly and adjust work accordingly in a positive manner
• Excellent analytical and problem-solving skills, with a high level of attention to detail

Nice To Haves

• Experience using Power BI, Python, Databricks is an asset
• Experience with GCP is an asset
• Experience in AI is an asset

Responsibilities

• Work closely with the Canadian Wealth Management Operations team to support day-to-day reporting activities
• Deliver the daily scheduled reports and support Adhoc reporting requirements with complete data analysis and provide the technical solution to meet the customer requirements
• Work with data investigation, analysis, develop and maintain a strong knowledge of wealth management business workflow to deliver the expected solution
• As a Senior Business Analyst Specialist who ensures re-engineering, you will work with the business to understand existing functionalities, and develop new solutions, and write scripts for analysis, testing and regression, understanding relationship database structure and how the data maps to various business application
• Identify programming / analysis skill gaps and keep up with the new data analysis tools and programming software to consistently improve self and existing processes.
• Be responsible for performing heavy data-driven analytics and reconciliations for complex calculation logic in various wealth application data which is highly statistical and computation intensive

What This Job Offers

• Job Type: Full-time
• Career Level: Manager