Senior Manager, Marketing Analytics
New
J
JobgetherB2B SaaS
Fully remote position open to candidates across Canada.Full-TimeManager
SalaryCA$128,000–CA$176,000 per year, with eligibility for a bonus program.
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Job Details
- Experience
- 7+ years of experience in marketing analytics, marketing operations, or a closely related analytics discipline, including at least 2 years leading analysts, cross-functional initiatives, or both.
- Required Skills
- SQLMachine LearningMicrosoft Power BISalesforceTableauLooker
Requirements
- 7+ years of experience in marketing analytics, marketing operations, or a closely related analytics discipline.
- At least 2 years leading analysts, cross-functional initiatives, or both.
- Advanced, hands-on SQL capabilities, with the ability to independently extract, join, validate, and analyze complex datasets.
- Demonstrated ownership of B2B funnel and attribution measurement, including experience building or improving multi-touch attribution or pipeline models.
- Practical experience applying machine learning or AI to business problems such as propensity or lead scoring, forecasting, or segmentation.
- Familiarity with ABM platforms such as 6sense or Demandbase, and/or media mix modeling and incrementality testing at scale.
- Strong knowledge of the modern marketing data stack, including Salesforce, marketing automation platforms (Marketo/HubSpot), and BI tools (Tableau/Looker/Power BI).
- Excellent executive communication skills, with the ability to translate complex analytical findings into concise recommendations.
- Experience with dbt, Python or R, and cloud data warehouses such as Snowflake, BigQuery, or Redshift (an asset).
- Experience working with LLM APIs or AI-assisted analytics tools (an advantage).
Responsibilities
- Own end-to-end marketing performance measurement, covering campaigns, channels, programs, funnel progression, and contribution through to closed-won revenue.
- Build, maintain, and continuously improve attribution and funnel models used to evaluate performance and inform marketing budget allocation.
- Apply AI and machine learning to marketing analytics, including propensity scoring, pipeline forecasting, segmentation, channel optimization, and automated anomaly detection.
- Establish responsible AI practices for marketing analytics by validating outputs, documenting assumptions, and monitoring model performance.
- Partner with Demand Generation and Events teams to establish targets, forecast pipeline contribution, and measure results against business plans.
- Design and maintain dashboards and self-service reporting that enable marketing leaders to answer recurring performance questions independently.
- Act as the analytics owner for the marketing data ecosystem, including Salesforce, marketing automation platforms, and downstream data warehouse tables.
- Prepare executive-level analysis, business reviews, board materials, annual planning insights, budget scenarios, and ROI cases for strategic investments.
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