Manager, Campaign Analytics – SQL, Pega/ TSYS CDH

FP Inc.; Toronto; Hybrid; CAD 69,000 - 90,000; Full time

Benefits offered by this job

Hybrid work schedule

Accessible candidate experience

Job summary

FP Inc. in Downtown Toronto is seeking a Business Analyst - Non-IT to champion a customer-focused culture and leverage bank capabilities to deepen client relationships. The role blends campaign analytics, measurement, and business insights to guide decisioning and optimize journeys.

You will collaborate with marketing, data science, product, and channels to translate priorities into actionable analytics roadmaps, dashboards, and executive-ready recommendations, within a hybrid work setup.

Qualifications

• 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.
• Ability to translate complex analytical findings into concise, actionable recommendations and executive-ready stories for diverse audiences.

Responsibilities

• Translate business and marketing priorities into analytical roadmaps with clear success measures and test designs.
• Develop audience and targeting strategies using segmentation, propensity, response, and channel preferences.
• Evaluate campaigns, build business cases, forecast outcomes, and provide go/no-go recommendations based on impact and P&L.
• Design and maintain campaign measurement frameworks; deliver dashboards and executive updates across channels and segments.

Skills

Campaign analytics

Marketing analytics

Customer analytics

Business intelligence

Data science

SQL

Forecasting

Presentation skills

Education

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

Tools

Power BI

Tableau

Python

R

SAS

Job description

JOB DESCRIPTION

Location: Hybrid - 3-4 days in-office | Downtown, Toronto

Duration: 12 Months

Our client, a leading financial institution in Downtown Toronto, is looking for a Business Analyst - Non-IT to champion a customer-focused culture and leverage broader bank capabilities to deepen client relationships. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Typical Day in role:

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 Required:

• 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.