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Media Analytics Manager, Measurement & Attribution in Canada Creek, Nova Scotia at Jobgether

NewJob Function: General Business
Jobgether
Canada Creek, Nova Scotia, B0P 1V0, Canada
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Job Description

Media Analytics Manager, Measurement & Attribution

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Media Analytics Manager, Measurement & Attribution based in Canada.

This role offers the opportunity to shape how advertising effectiveness is measured through advanced analytics, experimentation, and attribution solutions.
You will leverage large-scale first-party data to uncover insights into consumer behavior and demonstrate the impact of media investments.
Working within a collaborative measurement-focused environment, you will partner with advertisers, internal teams, and business stakeholders to solve complex analytical challenges.
You will design innovative testing frameworks, develop data-driven recommendations, and transform findings into actionable strategies.
The position combines technical expertise, strategic thinking, and strong communication skills to influence decision-making at scale.
You will play a key role in advancing measurement capabilities through experimentation, automation, and AI-powered analytics tools.

Accountabilities:

As a Media Analytics Manager, Measurement & Attribution, you will lead advanced analytics initiatives that help organizations understand advertising performance, optimize campaigns, and make informed business decisions. You will combine statistical expertise, experimentation methods, and stakeholder partnership to deliver impactful measurement solutions.

  • Design and execute advanced experiments, including A/B testing, holdout studies, and incrementality measurement approaches to evaluate advertising effectiveness.
  • Analyze experiment results and translate complex data into clear recommendations that improve campaign performance and business outcomes.
  • Develop customized measurement frameworks, metrics, dashboards, and self-service analytical tools tailored to stakeholder needs.
  • Partner with advertisers, sales teams, product teams, and analytics groups to define measurement strategies and address complex business questions.
  • Present insights and methodologies to senior stakeholders, building confidence in analytical approaches and recommendations.
  • Identify opportunities for operational improvements, client growth, and enhanced measurement capabilities through data-driven insights.
  • Create scalable analytical solutions using SQL, Python/R, visualization tools, and AI-enabled workflows to improve efficiency and quality.
  • Apply AI tools and automation techniques to accelerate analysis, improve processes, and expand measurement capabilities.
Requirements:

The ideal candidate combines strong analytical expertise with business acumen, communication skills, and experience applying experimentation and measurement techniques in advertising or marketing environments.

  • Bachelor’s degree in a quantitative discipline such as Engineering, Statistics, Mathematics, Economics, Finance, Business, or a related field.
  • 6+ years of experience in data analytics, measurement, consulting, or related analytical roles.
  • 3+ years of experience in advertising effectiveness, media measurement, marketing analytics, or experimentation.
  • Advanced knowledge of experimental design, A/B testing, incrementality measurement, causal analysis, and statistical methodologies.
  • Strong SQL skills and proficiency in statistical programming languages such as Python or R.
  • Experience developing dashboards, visualization solutions, and self-service analytical tools using platforms such as Tableau or Mode.
  • Proven ability to transform analytical findings into strategic recommendations that drive measurable business impact.
  • Strong data storytelling, presentation, and stakeholder management skills, including experience communicating with senior audiences.
  • Ability to work independently, manage ambiguity, prioritize effectively, and collaborate across multiple teams.
  • Preferred experience with marketing mix modeling, Bayesian analysis, causal inference, attribution models, ad auction dynamics, and targeting systems.
  • Experience presenting measurement studies or analytical insights directly to clients or external partners is an asset.
  • Familiarity with AI-driven analytics tools, workflow automation, and modern approaches to improving analytical productivity.
Benefits:
  • Competitive compensation with a base salary range of $140,000 - $148,000 CAD for eligible Canadian candidates.
  • Remote work flexibility within Canada, with support for flexible ways of working.
  • Eligibility for equity opportunities and additional compensation programs.
  • Access to comprehensive employee benefits and wellness programs.
  • Opportunity to work on high-impact analytics initiatives using advanced technology, experimentation, and AI-driven solutions.
  • Collaborative environment with opportunities to partner with cross-functional teams and industry stakeholders.
  • Career growth opportunities in a fast-moving, innovation-focused organization.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

Canada Creek, Nova Scotia, B0P 1V0, Canada

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