Job Description:
Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients meet their quantifiable business goals every day, consistently, in every market. We are entirely focused on delivering better business results through optimization, creation and analysis across all digital platforms. Our scope ranges from recommending how to use content more effectively to optimizing daily media channel performance and maximizing visibility in eCommerce platforms.
The Senior Analyst, Media Effectiveness is responsible for measuring and evaluating media performance, delivering actionable insights, and supporting data-driven decision-making across client campaigns. Working closely with media, analytics, and client teams, you will leverage reporting, statistical analysis, and performance measurement methodologies to assess the effectiveness of media investments and drive business outcomes.
Key Responsibilities
Reporting & Analytics
- Lead campaign measurement and performance reporting across platforms including Google Ads, DV360, SA360, Meta, Pinterest, TikTok, GA4, Adobe Analytics, and other marketing technologies.
- Analyze campaign performance and deliver clear, actionable insights and recommendations to internal and client stakeholders.
- Support the development of KPI frameworks, measurement plans, and reporting strategies aligned to business objectives.
- Conduct media effectiveness analyses, including incrementality testing, experimentation, and statistical evaluation of campaign results.
- Apply statistical techniques such as regression analysis, hypothesis testing, and causal measurement methodologies to evaluate media impact.
- Monitor market trends and competitive activity to identify opportunities and inform strategic recommendations.
Dashboard Development & Data Management
- Design, build, and maintain dashboards using tools such as Looker Studio, Tableau, and Power BI.
- Partner with data engineering and analytics teams to support reporting infrastructure, data integrations, and data pipelines.
- Extract, transform, validate, and harmonize data from multiple marketing and media platforms.
- Monitor data quality, investigate discrepancies, and identify opportunities to automate reporting processes.
Stakeholder Collaboration
- Collaborate with media, strategy, analytics, and client teams to support measurement and media effectiveness initiatives.
- Present performance updates, insights, and recommendations to both technical and non-technical audiences.
- Translate complex analytical findings into clear business recommendations that support client decision-making.
Qualifications
- Bachelor's degree in Statistics, Economics, Data Science, Mathematics, Marketing Analytics, Computer Science, or a related quantitative field.
- 3-5+ years of experience in marketing analytics, media analytics, business intelligence, or a related analytical role.
- Strong SQL skills with experience working across multiple data sources.
- Experience with cloud-based data environments such as BigQuery, Azure, Snowflake, or similar platforms.
- Knowledge of statistical analysis methods, including regression analysis and hypothesis testing.
- Strong understanding of digital media measurement, attribution, audience data, conversion tracking, and campaign performance metrics.
- Experience building dashboards and reporting solutions using Looker Studio, Tableau, Power BI, or similar platforms.
- Strong communication skills with the ability to translate complex data into actionable business insights.
Preferred
- Experience with incrementality testing, experimentation frameworks, or media effectiveness measurement.
- Knowledge of Bayesian analysis, causal inference, or marketing science methodologies.
- Experience with Python or R for analysis and automation.
- Exposure to Marketing Mix Modeling (MMM) or advanced attribution methodologies.
- Experience working with first-party data and privacy-centric measurement solutions.
Location:
TorontoBrand:
Dentsu MediaTime Type:
Full timeContract Type:
PermanentSkills Required
- Bachelor's degree in Statistics, Economics, Data Science, Mathematics, Marketing Analytics, Computer Science, or a related quantitative field
- 3-5+ years of experience in marketing analytics, media analytics, business intelligence, or a related analytical role
- Strong SQL skills with experience working across multiple data sources
- Experience with cloud-based data environments such as BigQuery, Azure, Snowflake, or similar platforms
- Knowledge of statistical analysis methods, including regression analysis and hypothesis testing
- Strong understanding of digital media measurement, attribution, audience data, conversion tracking, and campaign performance metrics
- Experience building dashboards and reporting solutions using Looker Studio, Tableau, Power BI, or similar platforms
- Strong communication skills with the ability to translate complex data into actionable business insights
- Experience with incrementality testing, experimentation frameworks, or media effectiveness measurement
- Knowledge of Bayesian analysis, causal inference, or marketing science methodologies
- Experience with Python or R for analysis and automation
- Exposure to Marketing Mix Modeling or advanced attribution methodologies
- Experience working with first-party data and privacy-centric measurement solutions
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
