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Job title: eCommerce Activation Manager (15-month contract)

Questrade Financial Group

Senior Manager, Analytics & Insights

Toronto, ON, Canada

Base salary range: $170,000 - $200,000

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Job details

Pay: Base salary range: $170,000 - $200,000
Posting language: English
Posted: Nov 5, 2026

Original job description

Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. We use cutting-edge technology to help Canadians become much more financially successful and secure.

At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.

Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits. If you share this sense of infinite possibility, come shape your future at QFG.

What’s in it for you as an employee of QFG?

Health & wellbeing resources and programs
Paid vacation, personal, and sick days for work-life balance
Competitive compensation and benefits packages
Work-life balance in a hybrid environment with at least 3 days in office
Career growth and development opportunities
Opportunities to contribute to community causes
Work with diverse team members in an inclusive and collaborative environment

This job posting is for an existing vacancy.

We’re looking for our next Senior Manager, Analytics & Insights. Could It Be You?

This role will be responsible for:

The Senior Manager, Analytics & Insights defines and leads the analytics strategy for Marketing and Product at Questrade, reimagining how teams uncover insights, evaluate performance, and convert data into immediate action. Leading a lean, high-performing team of analysts while remaining deeply hands-on with complex data challenges, this role establishes enterprise measurement standards and drives adoption of AI-native self-serve capabilities to eliminate ad hoc bottlenecks. In close collaboration with Product, Marketing, Data Science, and Analytics Engineering, this leader elevates analytical rigor and transforms ambiguous business questions into clear, decisive choices for senior leadership.

Need more details? Keep reading…

In this role, responsibilities include but are not limited to:

Analytics Strategy & Product/Marketing Alignment: Define and own the multi-year analytics and insights strategy for Marketing and Product, aligning analytical roadmaps with key business priorities to proactively identify commercial opportunities across the end-to-end client journey.
Business Measurement & Metric Governance: Own the definitions and business logic for core marketing, product, and client engagement metrics, implemented in the semantic layer with Analytics Engineering, so performance is measured accurately and consistently in all forums.
Self-Serve Analytics & AI Transformation: Partner closely with Analytics Engineering to design, deploy, and scale intuitive, AI-native self-serve analytics ecosystems (leveraging tools such as Hex, Omni, and coding agents), empowering business stakeholders to reliably answer everyday questions and eliminating low-value ad hoc requests.
Advanced Analytical Delivery & Experimentation: Personally lead hands-on, high-complexity analyses and zero-to-one analytical deep dives; partner with Data Science to design sound experimental frameworks, test hypotheses, and isolate drivers of business performance.
Data Rigor & Engineering Collaboration: Write, maintain, and review production-grade SQL and dbt models within modern cloud platforms (BigQuery, Databricks, or Snowflake), championing analytical quality, modular data structures, and reproducibility across the team.
Executive Storytelling & Decision Enablement: Synthesize complex exploratory data, commercial models, and statistical findings into concise, actionable executive presentations and decision memos that guide strategic choices and drive measurable business impact.
Team Leadership & Analytical Capability Building: Lead, mentor, and grow a high-performing team of analytics professionals, instilling rigorous standards for business curiosity, critical thinking, validation of AI-generated work, and impactful stakeholder communication.

So are YOU our next Senior Manager, Analytics and Insights? You are if you have…

Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, Data Science, or equivalent practical experience.
10+ years of progressive experience in analytics, business intelligence, or strategic data leadership roles, with a demonstrable track record of insights directly driving marketing or product decisions.
Advanced, hands-on SQL and dbt expertise working directly in cloud data platforms (BigQuery, Databricks, or Snowflake).
Solid practical foundation in statistical analysis, hypothesis testing, and A/B/n experimentation design.
Proven ability to synthesize complex quantitative analyses into clear, one-page decision memos and executive presentations that influence senior stakeholders.
Demonstrated success leading, coaching, and developing a team of data analysts while remaining hands-on with data and analysis.
Demonstrated fluency with AI tools in day-to-day analytical workflows, with sound judgment in validating AI-generated work.

Additional kudos if you…

Regular hands-on experience using AI coding agents (such as Claude Code) to accelerate analytical workflows, paired with modern collaborative BI platforms (such as Hex or Omni).
Track record of starting an analytics practice from scratch, establishing new partnership models, or building self-serve capabilities that significantly reduced recurring ad hoc requests.
Prior experience in financial services, brokerage, digital banking, or high-growth tech environments.
Practical scripting ability in Python for exploratory analysis, statistical modeling, or automation.

Compensation Information:

Base salary range: $170,000 - $200,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Sounds like you? Click below to apply!

At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence - not only for the benefit of our customers, but for those who build their career with us.

Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

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More about this job

Responsibilities

The Senior Manager defines and leads the analytics strategy for Marketing and Product, driving the adoption of AI-native self-serve capabilities. They also lead a high-performing team while remaining hands-on with complex data challenges and executive reporting.

Requirements

Candidates must have a bachelor's degree and 10+ years of progressive experience in analytics or strategic data leadership. Proficiency in SQL, dbt, and cloud data platforms is required, along with proven success in team leadership and executive communication.

Skills

Analytics strategy
SQL
Dbt
BigQuery
Databricks
Snowflake
Statistical analysis
Hypothesis testing
A/B/n experimentation
Executive storytelling
Team leadership
Data modeling
AI-native analytics
Product analytics
Marketing analytics
Business intelligence

Benefits

Health and wellbeing resources
Paid vacation
Personal days
Sick days
Competitive compensation
Benefits packages
Career growth and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Analytics
Insights
Marketing
Product
AI
SQL
Dbt
BigQuery
Databricks
Snowflake
Hex
Omni
Business Intelligence
Data Science
Experimentation
A/B Testing
Cloud Platforms
Financial Services
Strategy
Leadership
Python
Data Modeling
Executive Reporting
Self-serve Analytics
Fintech

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