Senior Manager of Marketing Analytics

Optro; Canada; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health & wellness benefits

Generous paid time off

Professional development

Job summary

Optro in Canada is seeking a Senior Manager, Marketing Analytics to own the measurement layer for the marketing org—from campaigns to pipeline forecasting.

You will build attribution models, funnel health dashboards, and AI-assisted insights while partnering across Marketing Ops, Demand Gen, and Sales Ops to optimize investment decisions and ROI.

Qualifications

• Proven leadership of analysts or cross-functional projects.
• Strong executive communication, concise recommendations for leadership.
• Deep hands-on marketing analytics, including funnel and attribution.
• Experience applying ML/AI to business problems in marketing.

Responsibilities

• Own marketing measurement end to end—from campaign to revenue.
• Build and improve attribution models and funnel health dashboards.
• Lead AI-assisted insights and ML methodologies applied to marketing data.
• Collaborate with Marketing Ops, Demand Gen, and Finance on targets and ROI.
• Present executive-level analyses for planning and board materials.

Skills

Leadership experience

Executive communication

Marketing analytics

Funnel & attribution ownership

ML/AI in marketing

Cross-functional collaboration

Tools

SQL

dbt

Python or R

Snowflake/BigQuery/Redshift

Tableau/Looker/Power BI

Salesforce/Marketo/HubSpot

Job description

• Marketing at Optro is scaling fast, and we need a leader who can turn our marketing data into decisions the business actually acts on
• As Senior Manager, Marketing Analytics, you will own the measurement layer for the entire marketing org - campaign and channel performance, attribution, funnel health, and pipeline forecasting - and be the person leaders turn to when they want to know what is working and where the next dollar should go
• You will partner directly with marketing and cross functional teams with the visibility and the mandate to shape how we invest behind a growth engine that has already carried us past $300M ARR
• Reports into Marketing Operations and supports the full marketing organization
• Own marketing performance measurement end to end - campaign, channel, and program reporting from first touch through closed-won revenue
• Build, maintain, and continuously improve the attribution and funnel models the marketing org uses to allocate budget, and clearly communicate their assumptions and limitations to stakeholders
• Bring AI into the marketing analytics stack - apply machine learning and LLM-based approaches to lead and account propensity scoring, pipeline forecasting, channel mix optimization, and automated anomaly detection across campaign performance
• Build AI-assisted insight generation so that routine "what changed and why" questions are answered automatically and surfaced to marketing leaders, rather than sitting in an analyst queue
• Evaluate, pilot, and scale AI capabilities in our marketing and analytics tooling, and make clear build versus-buy recommendations grounded in measured impact rather than hype
• Set the standard for responsible use of AI in marketing analytics - validating model outputs, documenting assumptions, monitoring for drift, and partnering with Security and Legal on data handling
• Partner with Demand Generation and Events teams to set targets, forecast pipeline contribution, and track performance against plan
• Design and maintain dashboards and self-serve reporting so marketing leaders can answer routine questions
• Act as the analytics owner of the marketing data stack - Salesforce, marketing automation, and downstream warehouse tables - partnering with Marketing Ops and Data Engineering on data quality and instrumentation
• Deliver executive-level analysis and readouts for QBRs, board materials, and annual planning - including budget scenarios and ROI cases for new investments
• Raise the analytical bar across marketing through mentorship, documentation, and clear standards for how analysis is built and presented

Benefits

• Health and wellness benefits: High quality health plans and access to hormonal and family-building support.
• Time away from work: Generous paid time off including vacation, holidays, sick time, bereavement, and more.
• Financial benefits: Beyond a competitive salary, plans are provided to assist in your financial future including retirement and pension plans as well as life and disability insurance.
• Parental leave: Parents are eligible for time off to care for their newborn, adopted child, or foster child. Parental leave benefits and pay vary by location.
• Professional development: Continuously grow through development workshops, mentoring programs, and more.
• Community impact: We partner with communities to provide services in addition to sponsoring our own events.
• Live your best life: Invest in yourself, on us. Our monthly wellness stipend is designed to support your life beyond the screen, giving you the flexibility to fuel your passions and your well-being.
• Mental health: Access to Headspace's well known meditation support plus coaching and therapy, for you and additional loved ones.

A genuine partnership mindset. You work shoulder to shoulder with marketing ops, demand gen, sales ops, and finance rather than delivering reports over the wall7+ 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 preferredDeep, hands-on SQL skills - you can independently pull, join, and validate data without waiting on another teamStrong executive communication. You can compress a complex analysis into a single clear recommendation a CMO or CRO can act onExposure to ABM platforms (6sense, Demandbase) or to media mix modeling and incrementality testing at scaleHands-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 notDemonstrated 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 stakeholdersFluency 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 dataExperience supporting an enterprise, multi-product go-to-market motionExperience building with LLM APIs or AI-assisted analytics tooling (for example, natural-language querying over marketing data, or automated narrative reporting)