Manager Campaign Analytics SQL Pega CDH

Job summary

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.

Job details

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.

What you’ll do

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.

Listed skills

• SQL · Preferred
• Python · Preferred
• Power BI · Preferred
• Tableau · Preferred
• Google Cloud · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• 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
• SQL (Programming Language)
• Data Analysis
• Business Intelligence
• Dashboard
• Risk Management
• Financial Services
• Regulatory Compliance
• Marketing
• Economics
• Customer Service
• Python (Programming Language)
• Profit And Loss (P&L) Management
• Analytics
• Forecasting
• Data Governance
• Computer Science
• Go (Programming Language)
• Mathematics
• SAS (Software)
• R (Programming Language)
• Statistics
• Reporting Solutions
• Tableau (Business Intelligence Software)
• Corporate Finance
• Cross-Selling
• Risk Appetite
• Return On Investment
• Operational Risk
• Banking
• Profitability Analysis
• Treatment And Control Groups

Job areas

• Data & Analytics
• Marketing
• Finance & Accounting
• Management & Leadership
• Technology
• Campaign Analyst
• SQL Server Database Administrator
• Database Designers and Administrators
• Database Administrators

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