Senior Analyst, Media Effectiveness

Toronto, ON
On-site
Posted Oct 8, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

The Senior Analyst is responsible for measuring and evaluating media performance across various digital platforms to deliver actionable insights. They will lead campaign reporting, design dashboards, and conduct statistical analyses to support data-driven decision-making for clients.

Job details

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. Additional information Vacancy: Is this posting for the purposes of filling an existing vacancy [Y/N] The salary range for this position is $65k-$77k. Actual salary within the salary range will be based on a variety of factors including relevant experience, knowledge, and skills. A range of medical, dental, RRSP, paid time off, and/or other benefits also are available to all permanent employees. AI Disclosure: [dentsu] utilizes artificial intelligence tools as part of its recruitment process, as during the sourcing and screening stages. All other parts of the dentsu application and hiring processes do not utilize artificial intelligence tools We know through experience that different ideas, perspectives and backgrounds foster a stronger and more creative work environment that delivers better business results. We strive to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact Canada.Recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process. Location: Toronto Brand: Dentsu Media Time Type: Full time Contract Type: Permanent

What you’ll do

Requirements

Candidates must hold a bachelor's degree in a quantitative field and possess 3-5+ years of experience in marketing or media analytics. Proficiency in SQL, cloud-based data environments, and statistical methodologies is required for this role.