Responsibilities
- Evolve Attribution Modelling & Methodology by managing and improving the first-touch attribution model and incorporating new signals.
- Enhance the multi-touch attribution model by integrating non-clickable sources such as connected TV and Salesforce data.
- Build model comparison analyses and reporting to evaluate newly developed models against existing first-touch and multi-touch approaches.
- Act as the primary point of contact for diagnosing attribution inconsistencies and uncovering root causes in data and configuration.
- Integrate new marketing attribution sources end-to-end, including partnering with data teams to develop reverse ETL models and seed tables.
- Maintain and update attribution seed tables, including adding influencers/partners and implementing UTM mapping changes.
- Partner with BI to review published PRs and confirm changes meet standards for accuracy, integrity, and alignment with attribution logic.
- Monitor and validate UTM structures and attribution signals, proactively identifying mapping issues and irregularities.
- Coordinate with Ad Operations to ensure tracking configurations align with attribution needs.
- Write and maintain production-quality SQL to analyze raw marketing, product, and revenue signals into analysis-ready and reverse ETL datasets.
- Translate data analysis into dimensional/semantic model requirements such as clean attribution-ready tables and standardized channel mappings.
- Collaborate with relevant data teams to review and maintain data models supporting first-touch and multi-touch attribution.
- Review and maintain quality checks and validation logic to ensure changes don’t break downstream reporting.
- Partner with BI and stakeholders to align on definitions, logic, and documentation for datasets.
- Lead attribution onboarding/training for new Marketing hires, including how account-level attribution is derived and interpreted.
- Develop and maintain documentation for attribution logic and frameworks, seed table dictionaries, UTM standards, and model configuration.
- Support proactive enhancements that improve attribution ROI and stakeholder confidence.
- Help operationalize prospect data flows such as cleaning/loading cold prospect data into tools used for retargeting, sequencing, and warming.
Requirements
- Strong experience in attribution, marketing analytics, or revenue analytics in a high-velocity GTM environment.
- Ability to own ambiguous, high-stakes measurement problems end-to-end, from data inputs to stakeholder-ready outputs.
- Proven skill in diagnosing complex inconsistencies across tracking, data pipelines, and business logic.
- Comfort partnering cross-functionally (RevOps, Marketing, BI, Ad Ops) and translating technical work into clear, practical guidance.
- A builder mindset: you document, enable, and improve systems so the organization scales beyond you.
- Strong SQL skills - comfortable writing and maintaining complex queries independently to investigate data issues.
- Data modelling experience - built or maintained clean, reusable datasets and table structures that other teams can rely on.
- Comfort working directly in the data layer - partnered with or worked alongside data/analytics engineering teams on schema design, ETL processes, or pipeline logic.
Benefits
- Extended health benefits package with fully paid premiums for body and mind.
- Matching in RRSP, TFSA or FHSA.
- Stock options.
- Annual stipends for health and wellness.
- Retirement savings matching.
- Dedicated Talent Development team with access to coaching, learning, and leadership programs.
- Career coaching and opportunities for career development.
Team
Structure: Demand Generation team
Additional Information
- Candidates must be based in one of the hub cities: Edmonton, Toronto, Vancouver, or Kitchener-Waterloo.
- Base salary is just one part of a total compensation package that includes equity rewards, annual stipends, retirement matching, and extended health coverage.
- Professional growth is supported through a dedicated talent development program.
- The company values transparency, inclusivity, collaboration, and innovation.
- Committed to diversity and inclusion; welcomes applicants from diverse backgrounds.
- Equal opportunity employer with commitment to accommodation during hiring process.
