Manager Campaign Analytics Sql Pega Cdh

Manager, Campaign Analytics - SQL, Pega/ TSYS CDHLocation: 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
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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