Jobs in Canada

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HR Business Partner
Weyerhaeuser
Grande Prairie, AB
- Full-time
Must have strong computer skills and proficient with HRIS systems
Added 15 mins ago
QF
Manager, Reporting and Analysis
Questrade Financial Group
Toronto, ON
- Full-time
We’re looking for our next Senior Manager, Data Science & Service Intelligence
Added 30 mins ago
BC
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Questrade Financial Group

Manager, Reporting and Analysis

Toronto, ON, Canada

$120,000 - $140,000 CAD · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $120,000 - $140,000 CAD
Job type: Full-time
Apply by: Dec 13, 2026
Work location: A hybrid environment, with at least three days in the office built for working together
Posting language: English
Posted: Nov 13, 2026

Original job description

Questrade is on a mission to help Canadians to become much more financially successful and secure.

For nearly 30 years, Questrade Financial Group has been delivering on that mission through investing, banking, mortgages, and real estate. Together, we tilt finance in favour of ambitious Canadians, creating new ways for them to seize the financial future they deserve.

We're looking for people who are ready to enter their career inflection point. Mission-driven, exceptional folks that never settle. The work here is hard because the responsibility is real. If that's the standard you've been looking for, keep reading.

Req 4357

The return on your career investment

Compensation and incentives built to reward the value you bring.
RRSP matching of up to 6%.
Health and wellness resources and programs, including $5,000 in mental health practitioner coverage.
$5,000 in tuition subsidies for job-related courses, every year.
100% parental top-up, up to 26 weeks for birthing parents and 18 weeks for non-birthing parents.
A hybrid environment, with at least three days in the office built for working together.
Paid vacation, personal, and sick days.
A community care day to give back to the causes you care about.

This job posting is for an existing vacancy.

We’re looking for our next Senior Manager, Data Science & Service Intelligence

The Sr. Manager, Data Science & Service Intelligence is accountable for rebuilding how Sales & Service leverages data, predictive models, and conversational AI to drive operational decisions. Operating as a hands-on player-coach, this role leads the transformation of reporting into predictive service intelligence, establishing governed metrics in BigQuery and Power BI while connecting telephony, CRM, and cloud warehouse ecosystems. The role partners cross-functionally with Workforce Management, Product, Technology, and operational leadership to isolate root causes of friction and measurably elevate client experience across channels

The Mandate

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

Establishing and owning the metric framework for Sales & Service as a single source of truth, building governed data models in Google BigQuery and self-serve Power BI dashboards while retiring redundant legacy reporting and enforcing data quality and lineage standards.
Architecting and maintaining reliable data pipelines and API integrations across Genesys Cloud, Salesforce, Google BigQuery, and internal platforms, breaking down operational silos in collaboration with central Data and Technology teams.
Personally developing predictive models, statistical forecasts (e.g., volume, handle time, attrition risk), and controlled experimentation pilots using Python and advanced SQL, providing the analytical modeling engine for Workforce Management and operational planning.
Owning the end-to-end measurement framework for conversational AI across voice and chat (containment, resolution accuracy, escalation behavior, unit cost), analyzing conversation transcripts at scale to uncover failure points and steer model improvements with automation teams.
Interrogating contact patterns, escalation trends, and client feedback to quantify root causes of friction in volume and cost, delivering prioritized, evidence-backed business cases to Product and Technology to permanently eliminate recurring issues.
Formulating and tracking outcome-focused KPIs (centering on First Contact Resolution) for specialist pods, equipping frontline leaders with diagnostic coaching insights that measurably enhance operational performance and client experience.
Directing, mentoring, and elevating a team of analysts through disciplined technical standards and modern development workflows (including prompt engineering and LLM-assisted workflows), driving organizational scale through automation and technology rather than headcount.
Partnering across Sales & Service, Operations, Product, Technology, and external vendors, translating complex data findings into actionable executive narratives, trade-off evaluations, and strategic business decisions.

You’re ready for this mandate if you have the following qualifications

Have a Bachelor's degree in a quantitative or technical field (Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline), or equivalent practical experience.
Have 5+ years of experience in analytics, data science, or a related quantitative technical field, including at least 2 years directly leading, mentoring, or guiding the technical work of analysts.
Have advanced SQL proficiency querying cloud data warehouses (e.g., Google BigQuery) and working proficiency in Python or R for statistical analysis and predictive modeling.
Have hands-on experience integrating multi-source operational data (telephony, CRM, data warehouses), creating data pipelines/APIs, and developing enterprise-grade business intelligence reporting (e.g., Power BI).
Have a demonstrated track record taking a predictive model, statistical forecast, or experiment from initial concept to active business implementation that directly influenced operational decisions.

Nice to have

Have applied experience measuring, tuning, or evaluating conversational AI / virtual agent systems across chat and voice channels.
Have prior domain experience in contact centers, operations, or a regulated financial services/brokerage environment.
Have hands-on familiarity with Genesys Cloud and Salesforce operational data models.
Have experience with analytics engineering practices and tooling (e.g., dbt, data transformation modeling, orchestration)

Enter your career inflection point. Apply now.

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.

Base salary range

$120,000 - $140,000 CAD

Technology and AI

We mix human ingenuity with advanced technology. For ambitious builders like you, we provide the latest technology to enable your creativity. You'll have everything you need to build the best outcomes and products for our clients.

Diversity and Inclusion

At Questrade Financial Group of Companies, we’re committed to fostering a diverse, inclusive, and accessible work environment where individuals are treated with dignity and respect. Our global team reflects the diversity of the communities we serve and operate in.

Accessibility statement

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

AI in hiring

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

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the transformation of Sales and Service reporting into governed, predictive service intelligence by building data models, dashboards, pipelines, forecasts, and conversational AI measurement frameworks. Guide analysts and partner with operational, product, technology, and vendor teams to identify service friction, improve performance and client experience, and translate findings into business decisions.

Requirements

A bachelor's degree in a quantitative or technical field, or equivalent practical experience, is required, along with at least five years of relevant analytics or data science experience and two years leading or mentoring analysts. Candidates need advanced SQL, working proficiency in Python or R, experience integrating operational data and building enterprise BI reporting, and a record of implementing a model, forecast, or experiment that influenced operations.

Skills

Advanced SQL
Python
Predictive Modeling
Statistical Forecasting
Google BigQuery
Power BI
Data Pipelines
API Integration
Data Modeling
Data Quality And Lineage
Conversational AI Measurement
Contact Center Analytics
Workforce Management
Analytics Engineering
Team Leadership
Executive Communication

Benefits

RRSP Matching
Health And Wellness Resources
Mental Health Coverage
Tuition Subsidy
Parental Leave Top-Up
Paid Vacation
Personal Days
Sick Days
Community Care Day

Visa sponsorship

Not detected in the job text

Keywords

Google BigQuery
Power BI
Python
R
Advanced SQL
Genesys Cloud
Salesforce
Data Science
Predictive Modeling
Statistical Forecasting
Controlled Experimentation
Conversational AI
Virtual Agents
Contact Center Analytics
Workforce Management
Data Pipelines
API Integration
Data Governance
Data Quality
Data Lineage
Analytics Engineering
Dbt
Data Orchestration
Prompt Engineering
LLM-Assisted Workflows
First Contact Resolution
Operational Planning
Client Experience
Financial Services
CRM

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Work requirements

Jobs in Canada