Manager Campaign Analytics SQL Pega CDH

FINTECH PROFESSIONALS CORP; Toronto; Híbrido; CAD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work from home options

Descripción de la vacante

FINTECH PROFESSIONALS CORP is seeking a Manager of Campaign Analytics in Toronto. Hybrid work arrangement requires 3-4 days in-office, with a 12-month contract and potential extension or conversion to FTE.

You will own analytics for acquisition, engagement, and retention, and define audience strategies across multiple channels. The role demands 5+ years in analytics, strong SQL (3+ years) and experience with GCP, plus proficiency in Python/R/SAS and BI tools.

Formación

• 5+ years in campaign/marketing analytics or related field
• Experience with campaign measurement, experimentation, segmentation, targeting, personalization, forecasting, ROI analysis
• 3+ years of SQL and data-analysis in large-scale/Cloud environments (GCP)
• Proficiency in Python, R, SAS, Power BI, Tableau or similar tools
• Ability to translate complex analytics into concise, executive-ready recommendations

Responsabilidades

• Lead analytics across acquisition, engagement, cross-sell, retention, and win-back initiatives
• Translate priorities into analytical roadmaps, success metrics, test designs and delivery plans
• Develop audience targeting using segmentation, propensity, uplift, and customer value insights
• Evaluate campaigns, size opportunities, forecast outcomes, and provide go/no-go recommendations
• Collaborate with Campaign Design, Data Science, Marketing, Product and channel teams to improve decisioning and multi-channel journeys

Conocimientos

SQL

Python

R

SAS

Power BI

Tableau

GCP

Pega

Tsys CDH

Data visualization

Educación

Bachelor's degree in Statistics/Math/Economics/CS/Engineering/Finance/Marketing Analytics

Herramientas

GCP

Pega

Tsys CDH

Descripción del empleo

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

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.