Senior Data Analyst with Wealth Management and GenAI experience to work with a large insurance client- 14881

Senior Data Analyst with Wealth Management and GenAI experience to work with a large insurance client- 14881

Location Address: Hybrid - onsite 3 days per week, 2 days remote. - Toronto

Contract Duration: 6 months (Good Chance of Extension)

Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Responsibilities / Individual Accountabilities:

• Leads sessions with the business to gather requirements and get sign-off.
• Produces and maintains Business Requirement Document (BRD), source to target mappings (STM) and other DA related documentation.
• Ensures that project team delivers a data asset that meets business requirements.
• Liaises with various teams and stakeholders to get alignment.
• Data analysis, data profiling and metadata collection
• Leads UAT activities with business and obtains sign-off

How will you create impact?

• Reporting to the Lead Data Analyst within the GWAM Data Office/ Engineering team, the Senior Data Analyst is responsible for working with the Data Management and Delivery team, as well as other project teams, to ensure the data components of solutions provide the appropriate value to the business users, and are aligned with the organization’s data strategy.

Must have Requirements:

• 5 - 10years experience as a Data Analyst preferably in the Wealth Management (.i.e.Retail, Retirement, Institutional or General Accounts) domain
• 2 - 3 years of GenAI working experience
• Experience with data-centric projects delivering the following (preferably within a capital markets or investment banking domain): Master data management, Data integration, Data warehousing and reporting. Big Data environment for analytics
• Hands-on writing complex SQL queries to analyze data and provide results to business users or project team members.
• Experience in major trading platforms, book of record systems, performance management platforms, such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, Calypso.
• Intermediate to senior hands-on business analyst experience in building data infrastructure or developing data in a data lake or data warehouse.
• Hands-on knowledge of data modeling, data loading, data profiling, and data validation using SQL scripts.
• Deep knowledge of integrating new data sources into a data lake or data warehouse.

Nice to have:

• Exposure to Azure
• Amazon Webservice (AWS) Connect experience is an asset
• Adobe Journey Optimizer working experience

Interviews: 1 round of interviews - Virtual

Best candidate vs. average candidate: To stand out in this role, it’s crucial to have strong experience in databases or data warehouses and a solid understanding of finance or capital markets. Proficiency in Azure and Generative AI are valuable additions that can significantly enhance your profile.