Job Title: Business Data Analyst

Location: Toronto, ON

Duration: Contract

Client : Direct Client

Job Description:

The opportunity

We are on a journey to become a customer centered digital leader. We are looking for lead and motivated person who can deliver on our strategic priorities, passionate about customers, and are excited to see the successful implementation of the projects/products they deliver

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

Must have Requirements:

1. 5 - 10years experience as a Data Analyst preferably in the Wealth Management (.i.e.Retail, Retirement, Institutional or General Accounts) domain

2. 2 - 3 years of GenAI working experience

3. Adobe Journey Optimizer working experience

4. 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

5. Hands-on writing complex SQL queries to analyze data and provide results to business users or project team members.

6. Hands-on delivering data documentation artifacts in organizations of similar size and complexity within project deadlines.

7. Able to communicate clearly, both verbally and in written form at various levels within the project teams

8. 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.

9. Intermediate to senior hands-on business analyst experience in building data infrastructure or developing data in a data lake or data warehouse.

10. Hands-on knowledge of data modeling, data loading, data profiling, and data validation using SQL scripts.

11. Deep knowledge of integrating new data sources into a data lake or data warehouse.

Nice to have:

1. Exposure to Azure

2. Amazon Webservice (AWS) Connect experience is an asset

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.

The ideal candidate should be outgoing and collaborative, capable of negotiating with business stakeholders, and comfortable engaging in conversations with various teams.