Data Analyst (Toronto)

Data Analyst

Location: Toronto, ON — Hybrid (4 days on site)

Pay Rate: $65.37/hr - $77.18/hr

Contract Length: 6 Months

Responsibilities

• Establish credibility by quickly acquiring and demonstrating subject matter expertise and deep knowledge in Private Banking business
• Drive future-state reporting and Advanced Analytics for private banking to enable a fact-based strategy utilizing internal and external data and insight
• Drive insight from Private Banking data and competitive landscape in terms of what the data is telling up and what we need to do accordingly
• Evolve Private Banking data landscape by implementing core data capabilities to enable private banking growth strategy, leveraging modern data architecture and technologies
• Identify opportunities and spearhead the leveraging of data analytics to enhance the effectiveness & efficiency of credit delivery, leveraging bank-wide technology & practices where prudent. Strike a strong balance between driving market-leading portfolio growth, creative client solutions and risk quality in line with established business appetite
• Bring specific knowledge to bear and share subject matter experience and expertise, skills, and knowledge, as well as non-proprietary work from other situations. Responsible for thought leadership and innovation to increase efficiency and scalability of our credit risk identification
• Lead and implement complex data projects of various scopes and types through problem identification, defining an approach, planning, organizing, and execution
• Contribute to the unique culture of Private Banking group by continually demonstrating commitment to coach and develop the team and grow the professional capabilities of the group and yourself

Must-Have Skills

• 5+ years of experience in building reports, data modeling, and deriving insights from complex data
• Hands-on experience working with large-scale datasets using Python / PySpark for data processing and advanced analytics
• High proficiency with SQL, SAS, Excel, and Power Point
• Ability to work well under pressure, while maintaining a high standard output with attention to details
• Business and financial acumen

Nice-to-Have Skills

• Technical skills in developing dashboards using Tableau
• University degree in Engineering, Mathematics, Statistics, Data science or Computer Science or another quantitative field
• Financial and business designations (e.g., CFA, Six Sigma)
• Strong understanding and experience of High Net Worth Client Segment and Private Banking

Equal Opportunity Employer

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: