Manager, Campaign Analytics (5+ years) to lead audience strategy and campaign measurement using SQL and GCP- 42415

S.I. Systems Ltd.; Toronto; Híbrido; CAD 110.000 - 150.000; Jornada completa

Descripción de la vacante

S.I. Systems Ltd. in Toronto invites a Manager, Campaign Analytics with 5+ years of experience to lead audience strategy and campaign measurement using SQL and GCP in a hybrid, in-office schedule.

The role partners with Marketing, Product, Channels and Risk to translate data into actionable insights, design measurement frameworks, and drive ROI across campaigns. This contract position runs through 11/29/2027 with potential extension.

Formación

• 5+ years of progressive experience in campaign analytics, marketing analytics, customer analytics, BI or data science.
• 3+ years of SQL and data-analysis skills; experience with large-scale data and cloud environments such as GCP.
• Proficiency in Python, R, SAS, Power BI, Tableau or comparable tools.
• Ability to translate complex analytics into concise, actionable recommendations for executives.

Responsabilidades

• Lead campaign analytics across acquisition, engagement, cross-sell, retention and win-back initiatives.
• Translate priorities into analytical roadmaps, success measures, test designs, and delivery plans.
• Develop audience and targeting strategies using segmentation and propensity insights.
• Design and maintain campaign measurement frameworks and dashboards.
• Collaborate with Marketing, Product, Channels, Data Science and Risk teams to optimise multi-channel journeys.

Conocimientos

Campaign analytics

Marketing analytics

Customer analytics

Executive storytelling

Audience strategy

Data visualization

Educación

Bachelor’s degree in a quantitative field

Herramientas

SQL

GCP

Python

R

SAS

Power BI

Tableau

Descripción del empleo

Manager, Campaign Analytics (5+ years) to lead audience strategy and campaign measurement using SQL and GCP- 42415

Our financial services banking client is seeking a Manager, Campaign Analytics (5+ years) to lead audience strategy and campaign measurement using SQL and GCP- 42415

Location: Toronto/Hybrid: 3-4 days in-office

Contract Duration: 11/30/2026 to 11/29/2027 (Possibility of extension)

Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Story Behind the Need

Business group: Canadian Banking Analytics

Project: The Manager, Campaign Analytics leads audience strategy, opportunity sizing, and campaign measurement to improve customer growth, marketing effectiveness, and return on investment. The incumbent translates data into actionable insights and partners across Marketing, Product, Channels, Finance, Risk, and Campaign Design and Execution.

Reason: Additional support

Candidate Value Proposition

The successful candidate will have the opportunity to join a challenging project, utilizing new technology stack with a focused, talented group of various stakeholders, will gain experience with high visibility project.

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.
  • 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 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.

Best vs. Average Candidate:

The ideal candidate will be an experienced analyst with progressive experience in campaign analytics, marketing analytics, customer analytics, business intelligence, data science, or a related field. They must possess a proven ability to translate complex analytical insights into clear, actionable recommendations and executive-level narratives for both technical and non-technical audiences. Experience with campaign decisioning platforms such as Pega Customer Decision Hub (CDH) or TSYS Customer Decision Hub is highly preferred.

This role requires an individual who can effectively balance both the technical and business aspects of the project, acting as a bridge between data-driven analysis and strategic business decision-making.

Degrees or certifications:

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

2 rounds of interviews

• 1 st Round of in-person interview
  • 60 mins with HM and a senior Team member: Technical and behavioral Questions based on previous experience.
• 2 nd Round of in-person / MS Team Video interview
  • 30 mins with HM and Director