Business Data Analyst

Eviden; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst with extensive experience in Wealth Management. This role involves working with cloud data platforms, data integration, and enhancing data warehousing for analytics. The ideal candidate will have a strong background in data profiling and SQL, along with the ability to communicate effectively across various project levels. Join a dynamic team where your contributions will play a crucial role in driving data-centric projects within capital markets. If you are passionate about data and eager to make an impact, this opportunity is perfect for you.

Qualifications

• 5-10 years as a Data Analyst in Wealth Management.
• Experience with Cloud data platforms and data-centric projects.

Responsibilities

• Analyze and validate data using complex SQL queries.
• Deliver data documentation artifacts and communicate with project teams.

Skills

Data Analysis

SQL

Cloud Data Platforms

Data Warehousing

Data Integration

Master Data Management

Communication Skills

Tools

Azure

AWS

Bloomberg Polar Lake

SimCorp Dimension

Findur

Apex

Eagle

Charles River

Sylvan

Calypso

Job description

Must have Requirements:

1. 5 – 10 years experience as a Data Analyst, preferably in the Wealth Management domain, including Retail, Retirement, Institutional, or General Accounts.

2. Over 3 years' experience working with Cloud data platforms such as Azure, AWS, etc.

Experience with data-centric projects, preferably within capital markets or investment banking, including: Master data management, Data integration, building/enhancing Data warehousing or data lakes, and Big Data environments for analytics.

1. Familiar with data models and data warehouse concepts.
2. Hands-on experience in data profiling, writing complex SQL queries to analyze, validate data, and present results to business users or project teams.
3. Experience delivering data documentation artifacts within organizations of similar size and complexity, meeting project deadlines.
4. Ability to communicate clearly, both verbally and in writing, at various levels within project teams.
5. Experience with major trading platforms and book of record systems, such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, Calypso.

Nice to have –

1. Experience with Generative AI (GenAI).
2. Experience with Amazon Web Services (AWS) Connect is an asset.