Marketing Data Manager

Jobber

Marketing Data Manager driving attribution excellence for Jobber's Demand Generation team. Managing marketing attribution and data enablement while collaborating with various teams for optimal performance.

Posted 7/28/2026full-timeEdmonton • 🇨🇦 CanadaMid-LevelSenior💰 CA$98,300 - CA$133,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in Attribution Modelling and Marketing Analytics, with a strong focus on integrating data sources and ensuring reporting accuracy. Capable of leading cross-functional collaborations to enhance attribution methodologies and drive stakeholder confidence.

Highest-signal resume keywords

Attribution ModellingSQL ProficiencyData AnalysisCross-Functional CollaborationMarketing Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Attribution ModellingSQL ProficiencyData AnalysisModel ComparisonReverse ETLData ValidationUTM MappingData Pipeline DiagnosisReporting AccuracyData Integration

Soft Skills

Problem SolvingCommunicationDocumentationTrainingCollaboration

Tools & Technologies

SalesforceBI ToolsAd Operations ToolsAttribution SystemsData Management Tools

Industry Keywords

GTM EnvironmentMarketing AnalyticsRevenue AnalyticsAttribution LogicStakeholder Engagement

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Evolve Attribution Modelling & Methodology
Manage and improve our first-touch attribution model, incorporating new signals and partnering with Analytics to align on business definitions, methodology, and interpretation.
Enhance our multi-touch attribution model, including bringing in non-clickable sources such as connected TV and Salesforce data, in partnership with Analytics on methodology and interpretation.
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, partnering with Marketing and Customer Analytics stakeholders to understand perceived under-performance and uncover root causes in data and configuration.
Integrate new marketing attribution sources end-to-end, including partnering with our data teams to develop reverse ETL models and seed tables needed to sync data into the attribution systems
Maintain and update attribution seed tables (e.g., 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 that impact reporting accuracy.
Coordinate with Ad Operations to ensure tracking configurations align with attribution needs and that collected web data is structured and usable for modelling.
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 (e.g., clean attribution-ready tables, standardized channel mappings, and reusable metrics definitions) that downstream reporting and stakeholders can trust.
Collaborate with the relevant data teams to review and maintain data models that support first-touch and multi-touch attribution, including new source onboarding, table improvements, and model comparison reporting.
Review and maintain quality checks and validation logic to ensure changes to data models, UTMs, and attribution logic don’t break downstream reporting.
Partner with BI and stakeholders to align on definitions, logic, and documentation, ensuring datasets are understood, governed, and reusable across the org
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
Model configuration
Support proactive enhancements that improve attribution ROI and stakeholder confidence.
Help operationalize prospect data flows (e.g., cleaning/loading cold prospect data into tools used for retargeting, sequencing, and warming), so GTM teams can execute reliably

Requirements

What you’ll need

Strong experience in attribution, marketing analytics, or revenue analytics in a high-velocity GTM environment.
The 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.

Benefits

Comp & perks

Equity rewards
Annual stipends for health and wellness
Retirement savings matching
Extended health package with fully paid premiums for body and mind
Talent development program including career coaching and opportunities for career development