Senior Analyst, Operations Transformation

Questrade Financial Group•Toronto, ON

8d•CA$80,000 - CA$90,000•Hybrid

About The Position

Questrade Financial Group (QFG) is seeking a Senior Analyst, Operations Transformation to play a critical role across all phases of the operational transformation lifecycle. This role involves extracting and manipulating data from enterprise systems, building automated performance dashboards, and performing diagnostic trend analysis to identify opportunities for process re-engineering and workflow automation. The Senior Analyst will support the team by measuring post-implementation success through KPI tracking, benefit realization analysis, and operational process health monitoring. The ideal candidate will combine strengths in data modeling, low-code/no-code automation workflow configuration, and analytical storytelling to transform raw operational data into actionable solutions that drive measurable efficiency across business units. QFG offers a diverse, inclusive, and hybrid workplace that combines human-centric collaboration with AI-driven innovation.

Requirements

A Bachelor’s degree in Data Science, Statistics, Business, Finance, or a related field (or equivalent practical experience)
3+ years of professional experience in data analysis, business analysis, or operations
Advanced proficiency in SQL, data modeling, and Excel
Hands-on experience configuring and implementing automation solutions using low-code/no-code platforms (e.g., n8n, Zapier, Power Automate) or scripting (Google Apps Script, Python)

Nice To Haves

Strong working knowledge of the Canadian financial services industry
Demonstrated experience utilizing AI tools and APIs (e.g., Google Gemini, OpenAI ChatGPT, Anthropic Claude) for data tasks and connecting to API endpoints for data extraction
Relevant post-graduate qualification or specialized data analytics certifications

Responsibilities

Extracting, manipulating, and conducting diagnostic analysis on large, complex datasets from enterprise systems (e.g., BigQuery, SQL) to identify operational patterns, bottlenecks, and high-impact opportunities for process improvement.
Configuring, testing, and maintaining end-to-end automation workflows utilizing low-code/no-code platforms (e.g., n8n, Power Automate) and scripting (e.g., Google Apps Script, Python) to integrate disparate systems, streamline processes, and eliminate manual tasks within established project boundaries.
Applying data modeling techniques and utilizing approved AI productivity utilities and tools (e.g., Google Gemini, OpenAI) to accelerate data analysis, automate recurring reporting tasks, and surface operational insights.
Designing, building, and maintaining automated dashboards and interactive visualizations (e.g., Power BI, Google Looker Studio) to track project and departmental KPIs and monitor overall operational health.
Quantifying and evaluating pre- and post-implementation financial and operational impacts of transformation initiatives, providing data-driven evidence of value and efficiency gains.
Supporting operational "health checks" by monitoring process compliance and business unit adherence against established benchmarks, new workflows, and re-engineered process standards.
Analyzing data to identify workflow bottlenecks, translating complex findings into clear "so-what" narrative insights, and presenting actionable recommendations to cross-functional partners and leadership.
Providing accurate, agile ad-hoc reporting and analytical support for leadership to facilitate time-sensitive operational problem-solving and decision-making.