Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Optro

Senior Manager, Marketing Analytics

Optro

. Own marketing performance measurement end to end, covering campaign, channel, and program reporting from first touch through closed-won revenue .

Posted 9/21/2026full-timeRemote • CanadaSenior💰 CA$128,000 - CA$176,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in marketing analytics and operations, with a strong focus on attribution measurement, machine learning applications, and data-driven decision-making. Proficient in managing marketing data stacks and delivering insights through advanced reporting and dashboarding.

Highest-signal resume keywords
Marketing AnalyticsMachine Learning ApplicationSQL ProficiencyB2B Funnel MeasurementSalesforce Expertise

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLMachine LearningAttribution MeasurementPipeline ModelingData Analysis
Soft Skills
Executive CommunicationMentorshipCross-Functional Collaboration
Tools & Technologies
SalesforceMarketoTableauLookerPower BI
Industry Keywords
B2B SaaSDemand GenerationMarketing OperationsAI-Assisted AnalyticsABM Platforms

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Own marketing performance measurement end to end, covering campaign, channel, and program reporting from first touch through closed-won revenue
  • Build, maintain, and improve attribution and funnel models used for budget allocation
  • Apply machine learning and LLM-based approaches to propensity scoring, pipeline forecasting, channel mix optimization, and anomaly detection
  • Build AI-assisted insight generation for automated “what changed and why” answers
  • Evaluate, pilot, and scale AI capabilities in marketing and analytics tooling
  • Make build-versus-buy recommendations based on measured impact
  • Set standards for responsible AI use, including output validation, assumption documentation, drift monitoring, and data-handling partnerships with Security and Legal
  • Partner with Demand Generation and Events teams on targets, pipeline forecasts, and performance tracking
  • Design and maintain dashboards and self-serve reporting
  • Own the marketing data stack, including Salesforce, marketing automation, and downstream warehouse tables
  • Partner with Marketing Operations and Data Engineering on data quality and instrumentation
  • Deliver executive-level analysis and readouts for QBRs, board materials, and annual planning
  • Develop budget scenarios and ROI cases for new investments
  • Raise analytical standards through mentorship, documentation, and clear analysis practices
  • Report into Marketing Operations and support the full marketing organization

Requirements

What you’ll need
  • 7+ years of experience in marketing analytics, marketing operations, or a closely related analytics function
  • At least 2 years leading analysts, cross-functional projects, or both
  • B2B SaaS experience strongly preferred
  • Deep, hands-on SQL skills
  • Demonstrated ownership of B2B funnel and attribution measurement
  • Experience building or substantially rebuilding a multi-touch attribution or pipeline model
  • Hands-on experience applying machine learning or AI to a business problem
  • Exposure to ABM platforms (6sense, Demandbase) or media mix modeling and incrementality testing at scale
  • Fluency with Salesforce, a marketing automation platform (Marketo, HubSpot, or similar), and a BI tool (Tableau, Looker, Power BI, or similar)
  • Strong executive communication
  • Partnership experience with marketing ops, demand gen, sales ops, and finance
  • Background checks are required
  • Nice to have: dbt, Python or R, and a cloud data warehouse (Snowflake, BigQuery, Redshift)
  • Nice to have: experience supporting an enterprise, multi-product go-to-market motion
  • Nice to have: experience building with LLM APIs or AI-assisted analytics tooling

Benefits

Comp & perks
  • $200/mo (USD) for anything that enhances your life
  • Comprehensive employee health and life insurance coverage
  • Competitive compensation & bonus program
  • Statutory vacation + Flexible vacation
  • Time off for your birthday & volunteering
  • Employee resource groups
  • Opportunities for team and company-wide get-togethers
  • Opportunities to launch a career at a fast-growing SaaS company