Senior Manager of Marketing Analytics

Join Optro, a rapidly growing company in the marketing industry. As the Senior Manager of Marketing Analytics, you will be responsible for measuring and analyzing the performance of our marketing campaigns and channels. You will work closely with marketing and cross-functional teams to shape our growth strategy and allocate our budget effectively. This remote position is based in Canada and offers a competitive salary and benefits package.

• Ownership of the measurement layer for the entire marketing organization, including campaign and channel performance, attribution, funnel health, and pipeline forecasting.
• Partnership with marketing and cross-functional teams to shape how the company invests in growth, leveraging data to inform decisions.
• Implementation of AI and machine learning techniques in marketing analytics, including lead and account propensity scoring, pipeline forecasting, and automated anomaly detection.
• Deep, hands-on SQL skills — you can independently pull, join, and validate data without waiting on another team
• Demonstrated ownership of B2B funnel and attribution measurement. You have built or substantially rebuilt a multi-touch attribution or pipeline model and defended its methodology to skeptical stakeholders
• A genuine partnership mindset. You work shoulder to shoulder with marketing ops, demand gen, sales ops, and finance rather than delivering reports over the wall
• Exposure to ABM platforms (6sense, Demandbase) or to media mix modeling and incrementality testing at scale
• Strong executive communication. You can compress a complex analysis into a single clear recommendation a CMO or CRO can act on
• 7+ years of experience in marketing analytics, marketing operations, or a closely related analytics function, including at least 2 years leading analysts, cross-functional projects, or both. B2B SaaS experience strongly preferred
• Hands-on experience applying machine learning or AI to a business problem — propensity or lead scoring, forecasting, segmentation, or automated insight generation — including a clear point of view on when a model is the right tool and when it is not
• Fluency with the modern marketing data stack: Salesforce, a marketing automation platform (Marketo, HubSpot, or similar), and a BI tool (Tableau, Looker, Power BI, or similar)
• Experience with dbt, Python or R, and a cloud data warehouse (Snowflake, BigQuery, Redshift) for modeling marketing data
• Experience supporting an enterprise, multi-product go-to-market motion
• Experience building with LLM APIs or AI-assisted analytics tooling (for example, natural-language querying over marketing data, or automated narrative reporting)