Senior Analyst, Marketing Insights & Analytics

Location: Toronto, Winnipeg

IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments.

Division: IGM Marketing

Founded in 1926, IG Wealth Management is a key part of IGM's business model, providing comprehensive wealth management services to Canadian financial advisors and their clients. With a vision to inspire financial confidence, IG Wealth Management is recognized as one of Manitoba’s Top Employers, Canada’s Top 100 Employers, and Best Diversity Employers, aiming to innovate the industry and support Canadians in achieving their financial goals.

The role is responsible for leading and delivering high-impact insights through data analytics, dashboard development, advanced analytics, and marketing performance measurement. The position demands a high degree of accountability, ownership, and proactive stakeholder engagement. Working closely with marketing, product, and data teams as well as external agencies, you will design analytical roadmaps and provide actionable recommendations to optimize marketing strategies.

• Insights Development:
  Lead data analysis, extracting highly actionable insights from complex marketing datasets. Develop and deliver comprehensive performance summaries and compelling narratives to marketing stakeholders, including senior leadership, to drive strategic decision‑making.
• AI Enablement & Workflow Automation:
  Champion the implementation and leveraging of AI tools within marketing analytics workflows to drive operational efficiencies, enhance data analysis, and accelerate the identification of actionable insights.
• Reporting Ecosystem Design & Visualization:
  Architect and design a robust, scalable reporting ecosystem. Build, maintain and optimize automated, interactive marketing dashboards to continuously monitor cross‑channel marketing performance.
• Strategic Measurement & Campaign Optimization:
  Lead the development and evolution of measurement frameworks to track performance across paid, earned, and owned channels. Own end‑to‑end campaign analysis, translating findings into data‑driven recommendations for optimization and growth.
• Audience Management & Optimization:
  Analyze behavioral and transactional trends to develop audience segmentation for personalization. Support marketing technology teams with A/B testing, optimization strategies, and broader campaign improvements.
• Data Governance & Advanced Analytics:
  Establish and enforce marketing data governance standards, including tagging frameworks, to ensure accurate attribution and reporting. Provide recommendations on advanced data modeling approaches (e.g., attribution modeling, marketing mix modeling) in collaboration with data science teams and business analytics stakeholders.

• Bachelor's or Master’s degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field.
• 3+ years of experience in marketing analytics or business intelligence, with a strong focus on digital and performance marketing.
• Exceptional analytical problem‑solving skills to turn raw data into strategic insights and compelling narratives.
• Proven experience developing campaign measurement plans, implementing measurement and KPI frameworks, and providing analytical leadership on marketing strategies and campaigns.
• Advanced technical proficiency in SQL for data extraction and manipulation.
• Expertise in building complex, interactive dashboards using Tableau, Looker or other BI platforms to monitor performance and maximize effectiveness.
• Deep understanding of the media and marketing landscape (advertising, mass/digital/social media buying, research), with the ability to determine appropriate channels based on business objectives.
• Agility to manage multiple priorities and adapt quickly in a lean, fast‑paced environment.
• Comfort working with and integrating AI tools into analytical workflows.

• Experience with Big Data tools (e.g., Spark,…