Senior Marketing Insights Analyst (MMM & DDA)

Socket.dev; Montreal (administrative region); On-site; CAD 79,000 - 112,000; Full time

Benefits offered by this job

Total Rewards Package

Job summary

TD Insurance in Montréal, QC, seeks a Senior Analyst in Marketing Measurement & Insights (MMI) to drive data‑driven marketing decisions. You will develop dashboards, measurement models, and KPI frameworks to evaluate performance and inform strategic investments.

Collaborate with Marketing, Digital, Pricing, Product and Data & Analytics to define objectives, build MMM, DDA and Incrementality methodologies, and translate findings into actionable insights, championing a data‑driven culture across

Qualifications

• Bachelor’s or Master’s degree in Marketing, Mathematics, statistics, economy or related field.
• Minimum 5 years of experience in marketing analysis performance measurement, business analytics, or a related field.
• Strong understanding of marketing measurement concepts and methodologies, including Marketing Mix Modeling (MMM), Data‑Driven Attribution (DDA), Incrementality Measurement, digital analytics, and marketing performance reporting.
• Proficiency in SQL and data analysis tools (e.g., Python, Power BI, Tableau, or similar) to explore data, generate insights, and validate results.
• Has a strong problem‑solving skills and problem analysis skills;
• Effective written and oral communication skills;
• Strong collaborator who engages colleagues, business partners and external stakeholders;
• Superior interpersonal, communication and presentation skills with ability to present information or arguments in a convincing manner
• Ability to drive change and influence with stakeholders at various levels of the organization;
• Shows initiative and creativity in their work

Responsibilities

• Perform data‑driven analyses to identify opportunities that support profitable growth, improve customer experience, and optimize marketing investments.
• Partner with business stakeholders to define measurement objectives, success metrics, and analytical requirements for marketing, digital, and customer acquisition initiatives.
• Develop business requirements and provide subject matter expertise for advanced marketing measurement methodologies, including Marketing Mix Modeling (MMM), Data‑Driven Attribution (DDA), and Incrementality Measurement, collaborating closely with modeling and analytics teams on model enhancements and new capabilities.
• Translate complex analytical findings into actionable insights and recommendations that inform strategic and tactical marketing decisions.
• Act as a trusted advisor and subject matter expert on marketing measurement initiatives involving cross‑functional teams such as Marketing, Model Factory, Digital, Pricing, Product, Distribution, and Data & Analytics.
• Identify measurement gaps, data opportunities, and process improvements that enhance the organization's ability to evaluate marketing effectiveness and optimize outcomes.
• Support the development, maintenance, and continuous improvement of marketing dashboards, reporting solutions, KPI frameworks, and performance measurement processes.
• Champion a culture of data‑driven decision‑making by promoting marketing measurement best practices and increasing awareness of MMI capabilities across the organization.
• Remain accountable for delivering insights that support acquisition, digital, and marketing initiatives, helping stakeholders achieve expected business outcomes and maximize the value of marketing investments.

Skills

SQL

Python

Power BI

Tableau

Marketing analytics

MMM

Education

Bachelor’s or Master’s degree in Marketing, Mathematics, Statistics

Tools

Power BI

Tableau

SQL

Python

Job description

TD Insurance in Montréal, QC, seeks a Senior Analyst in Marketing Measurement & Insights (MMI) to drive data‑driven marketing decisions. You will develop dashboards, measurement models, and KPI frameworks to evaluate performance and inform strategic investments.

Collaborate with Marketing, Digital, Pricing, Product and Data & Analytics to define objectives, build MMM, DDA and Incrementality methodologies, and translate findings into actionable insights, championing a data‑driven culture across