Title: Data Analyst
Location: Toronto ON (Hybrid)
The Opportunity
We are on a journey to become a customer-centric digital leader. We are seeking a proactive and motivated individual who is passionate about customers, thrives on seeing successful project and product outcomes, and can drive strategic priorities forward.
Key Responsibilities / Accountabilities:
- Lead requirements-gathering sessions with business stakeholders and secure necessary approvals.
- Produce and maintain Business Requirement Documents (BRDs), source-to-target mappings (STMs), and other data analysis documentation.
- Ensure project teams deliver data assets that align with business requirements.
- Collaborate with cross-functional teams and stakeholders to maintain alignment.
- Conduct data analysis, profiling, and metadata collection.
- Lead User Acceptance Testing (UAT) with business users and obtain sign-off.
How You'll Create Impact
Reporting to the Lead Data Analyst within the Data Office/Engineering team, the Senior Data Analyst will collaborate across data management, delivery, and project teams to ensure data solutions deliver value to business users and align with enterprise data strategy.
What Drives You
- You are passionate about customer needs and take action to meet them.
- You think big and use an agile mindset to drive business outcomes.
- You thrive in collaborative environments and work effectively in teams.
- You take ownership and focus on building impactful solutions.
- You act with integrity and aren't afraid to speak up.
- You value diversity and help foster an inclusive, supportive workplace.
What We Offer
- Competitive salary and benefits.
- A clear growth trajectory and continuous learning opportunities.
- A commitment to supporting your career development.
- Flexible work policies and a strong focus on work-life balance.
- Opportunities for leadership and professional advancement.
Our Commitment
- Values-Driven Culture: Our values guide our actions every day.
- Limitless Growth: Opportunities to learn and advance at every career stage.
- Innovation Focus: Help shape the future of digital and financial services.
- Inclusive Environment: We're committed to diversity, equity, and inclusion.
- Corporate Citizenship: We support our communities and our people.
Required Qualifications
- 5-10 years as a Data Analyst, preferably in Wealth Management (e.g., Retail, Retirement, Institutional, or General Accounts).
- 2-3 years of hands-on experience with Generative AI.
- Experience working with Adobe Journey Optimizer.
- Background in data-centric projects such as Master Data Management, Data Integration, Data Warehousing, Reporting, and Big Data environments-ideally in capital markets or investment banking.
- Strong SQL skills for data analysis and reporting.
- Proven ability to deliver comprehensive data documentation within complex project environments.
- Effective communicator across multiple levels of technical and business stakeholders.
- Experience with major financial platforms and systems such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, and Calypso.
- Business analyst experience in building or enhancing data lakes and data warehouses.
- Knowledge of data modeling, loading, profiling, and validation using SQL.
- Experience integrating new data sources into large-scale data systems.
Nice to Have
- Familiarity with Microsoft Azure.
- Experience with AWS Connect.
Standout Candidate Profile
To excel in this role, strong expertise in data warehousing or databases combined with a solid understanding of financial or capital markets is key. Proficiency in Azure and Generative AI technologies will further elevate your candidacy. The ideal individual is collaborative, communicative, and skilled at navigating conversations and negotiations with diverse stakeholders.
