Full-time jobs in Canada (371,874 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

371,874 listings · 46,956 employers Counted Nov 8, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,870 listings), Health Match BC (3,804 listings), Walmart (2,881 listings).

Common roles: Project manager, Cook, Sales representative.

65,765 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	38,615
CAD / year	80,000.00	24,842
CAD / month	5,200.00	681
USD / year	127,000.00	221
CAD / week	1,487.00	75
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
USD / month	4,000.00	11
EUR / year	72,500.00	10

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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FINTECH PROFESSIONALS CORP

Manager Campaign Analytics SQL Pega CDH

Toronto, ON, M5J 2S1, Canada

$50 to $65 CAD / hour · Full-time

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Applications open in a new tab.

Job details

Pay: $50 to $65 CAD / hour
Job type: Full-time
Posting language: English
Posted: Nov 5, 2026

Original job description

Manager, Campaign Analytics - SQL, Pega/ TSYS CDH Location: Downtown, Toronto Hybrid: 3-4 days in-office Contract Duration: 12 months Possibility of extension: May be, based on performance and business needs Conversion to FTE: May be, based on performance and business needs

Typical Day in Role:

Campaign Strategy, Audience Analytics & Optimization

Lead campaign analytics across acquisition, engagement, cross-sell, retention, and win-back initiatives, from opportunity sizing and audience definition through in-market monitoring and post-campaign evaluation.
Translate business and marketing priorities into analytical roadmaps, clear success measures, test designs, delivery plans, and decision-ready recommendations.
Develop audience and targeting strategies using segmentation, propensity, response, uplift, customer value, eligibility, and channel-preference insights.
Evaluate campaign and offer concepts, size opportunities, build business cases, forecast financial outcomes, and provide go/no-go recommendations based on customer impact, incrementality, risk, and P&L.
Partner with Campaign Design and Execution, Data Science, Marketing, Product, and channel teams to improve decisioning, personalization, next-best-action strategies, and multi-channel customer journeys. Campaign Measurement, Experimentation & Business Insights
Design and maintain campaign measurement frameworks covering eligibility, presentment, response, conversion, incremental lift, revenue, profitability, customer value, and return on investment.
Apply test-and-learn methods - including control groups, A/B tests, incrementality analysis, and other appropriate comparison approaches - to distinguish campaign impact from underlying customer and market behaviour.
Deliver recurring scorecards, dashboards, deep dives, and executive-ready updates that explain performance drivers, risks, opportunities, and recommended actions across campaigns, channels, products, and customer segments.
Identify trends in customer behaviour, funnel performance, channel effectiveness, offer economics, contact strategy, and campaign fatigue, and convert findings into practical optimization actions. Customer Focus, Data Governance, Risk Management & Controls
Champion a customer focused culture and leverage broader bank capabilities to deepen client relationships.
Consider the Bank’s risk appetite, policies, and controls in day to day decisions and analysis.
Ensure effective business controls, including operational risk, regulatory compliance, AML/ATF, and conduct risk, in alignment with the Bank’s risk frameworks.

Candidate Requirements/Must Have Skills:

5+ years of progressive experience in campaign analytics, marketing analytics, customer analytics, business intelligence, data science, or a related field
Demonstrated experience with campaign measurement, experimentation, incrementality, segmentation, targeting, personalization, forecasting, customer value, and ROI or profitability analysis.
3+ years of strong experience with SQL and data-analysis skills, with experience using largescale data and cloud environments such as GCP.
Proficiency in Python, R, SAS, Power BI, Tableau, or comparable analytics and visualization tools.
Proven ability to translate complex analytical findings into concise, actionable recommendations and executive-ready stories for technical and non-technical audiences is critical for the role.

Nice-To-Have Skills:

Recent experience in banking, financial services, or retail is preferred.
Experience developing reusable data assets, dashboards, scorecards, metric definitions, and governed reporting solutions
Familiarity with campaign decisioning platforms such as Pega / Tsys Customer Decision Hub is an asset.

Degrees or certifications:

Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Business, Finance, Marketing Analytics, or a related quantitative field.

Flexible work from home options available.

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More about this job

Responsibilities

Lead campaign analytics initiatives including audience definition, strategy development, and post-campaign evaluation. Partner with cross-functional teams to optimize customer journeys, personalization, and next-best-action strategies.

Requirements

Requires 5+ years of experience in campaign or marketing analytics with strong proficiency in SQL and cloud environments. Candidates should possess a bachelor's degree in a quantitative field and the ability to translate complex data into actionable business recommendations.

Skills

SQL
Pega CDH
TSYS CDH
Campaign Analytics
Marketing Analytics
Customer Analytics
Data Science
Python
R
SAS
Power BI
Tableau
GCP
Segmentation
A/B Testing
Financial Forecasting

Visa sponsorship

Not detected in the job text

Keywords

Campaign Analytics
SQL
Pega CDH
TSYS CDH
GCP
Python
R
SAS
Power BI
Tableau
Segmentation
Propensity Modeling
A/B Testing
Incrementality Analysis
Customer Value
ROI
Business Intelligence
Data Governance
Risk Management
Financial Services
Banking
Marketing Strategy
Customer Journey
Predictive Analytics
Dashboarding
Data Visualization
Cloud Computing
Performance Measurement
Optimization
Forecasting

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