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FP Inc.

Manager, Campaign Analytics - SQL, Pega/ TSYS CDH

Toronto, ON, Canada

$50 to $65 CAD / hour · Contract

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Job details

Pay: $50 to $65 CAD / hour
Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application.

Duration: 12 months

Daily Responsibilities:

Campaign Strategy, Audience Analytics & Optimization

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.

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 large-scale 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.

Soft Skills:

Strong business acumen, stakeholder management, prioritization, project leadership, problem-solving, attention to detail, and collaboration skills in a fast-paced, cross-functional environment.
Good communication and teamwork skills to work with multiple groups across the bank, gathering requirements
Flexible and able to pivot and adapt to change

Education:

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

FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is $50/hr -$65/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.

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More about this job

Responsibilities

Develop campaign and audience strategies, measurement frameworks, and experiments to assess performance, incremental impact, customer value, and profitability. Deliver dashboards, scorecards, and actionable recommendations while partnering across marketing, data science, product, and channel teams and adhering to risk and governance controls.

Requirements

Requires 5+ years of relevant analytics experience, including demonstrated campaign measurement, experimentation, segmentation, targeting, forecasting, and ROI or profitability analysis. Requires 3+ years of SQL and data analysis experience, proficiency with analytics and visualization tools, strong communication and business skills, and a bachelor's degree in a quantitative or related field.

Skills

Campaign Analytics
Marketing Analytics
Customer Analytics
SQL
Python
R
SAS
Power BI
Tableau
Campaign Measurement
Experimentation
Incrementality Analysis
Audience Segmentation
Targeting
Forecasting
Stakeholder Management

Visa sponsorship

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Keywords

Campaign Analytics
Marketing Analytics
Customer Analytics
Business Intelligence
Data Science
SQL
GCP
Python
R
SAS
Power BI
Tableau
Pega
TSYS Customer Decision Hub
Audience Segmentation
Targeting
Personalization
Propensity Modeling
Response Modeling
Uplift Analysis
Campaign Measurement
A/B Testing
Control Groups
Incrementality Analysis
Forecasting
Customer Value
ROI Analysis
Profitability Analysis
Dashboards
Risk Management

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