Insights & Measurement Lead — Ad Analytics & Enablement

Amazon; Toronto; On-site; CAD 100,000 - 167,000; Full time

Job summary

Amazon Ads Canada seeks an Insights and Measurement Consultant to accelerate advertising growth. You will serve as a strategic advisor, leading measurement discussions, generating actionable insights, and presenting recommendations to senior stakeholders.

You will perform hands-on data extraction and analysis using SQL and Python, building data-driven recommendations for executive client leadership across geographies and industries.

Qualifications

• Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field.
• Experience in advanced SQL and ability to write complex queries from scratch from multiple tables.
• Experience translating analytics and metrics into actionable insights for advertisers and stakeholders (technical and non-technical).
• Experience in advertising measurement methodologies, including incrementality, marketing mix modeling, and media attribution.
• Experience in customer segmentation and data science modeling using Python/R.

Responsibilities

• Leverage proprietary data, third-party research, and ad measurement solutions to generate actionable insights.
• Own senior-level measurement and insights customer relationships, partnering across objectives that influence business decisions.
• Collaborate cross-functionally to influence sales and marketing initiatives across multiple functions and geographies.
• Advocate for data-driven decision-making and guide advertisers to implement recommended solutions.

Skills

SQL

Python

Data analysis

Stakeholder communication

Advertising research

Education

Bachelor's degree

MBA

Job description

Amazon Ads Canada seeks an Insights and Measurement Consultant to accelerate advertising growth. You will serve as a strategic advisor, leading measurement discussions, generating actionable insights, and presenting recommendations to senior stakeholders.

You will perform hands-on data extraction and analysis using SQL and Python, building data-driven recommendations for executive client leadership across geographies and industries.