Senior Analyst, Media Efficiency (Data & Media Investments)

We are Dentsu. We innovate in the way brands are built. That means we do things differently to make them better than they were before. In this way, we ensure that our clients' most important marketing assets - their brands - win in a changing world. Dentsu innovates the way brands are built for its clients through its world-class expertise and capabilities in media, customer relationship management and creative communications services. Headquartered in London, Dentsu operates in 145 countries around the world with more than 50,000 specialists.

Turn data into decisions that make a difference. We are looking for an analytical professional capable of making data speak and demonstrating the real impact of media investments. In this strategic role, you will be responsible for measuring the performance of digital campaigns, designing advanced reporting solutions, and converting complex analyses into concrete business recommendations. If you enjoy combining analytical rigor, data technologies, and client partnership to generate measurable results, this position will offer you a unique opportunity to have a direct influence on the success of major campaigns.

Analysis and Report Production

• Lead the measurement of campaigns and the production of performance reports across various media platforms, including Google Ads, DV360, SA360, Meta, Pinterest, TikTok, GA4, Adobe, and others.
• Develop the reporting infrastructure in collaboration with clients and internal stakeholders to ensure effective performance tracking.
• Present analyses, findings, and clear data-based recommendations confidently to internal teams and clients.
• Advise teams in executing media impact and incrementality tests; support the design of tests, data collection, statistical interpretation, and analysis of results to validate media effectiveness.
• Support the team in developing and analyzing relational statistical models (regressions, Bayesian methods, etc.) to evaluate causality relationships and isolate the impact of media from external variables.
• Translate competitive activities and market trends into performance recommendations and actionable insights for internal teams and clients.

Dashboards and Data Management

• Design and maintain client dashboards using various data visualization platforms (Looker Studio, Tableau, Power BI, etc.).
• In collaboration with data engineering teams, create and maintain API connectors to media platforms; extract, transform, and harmonize raw advertising data to produce datasets ready for reporting in Azure or BigQuery.
• Monitor data quality, resolve discrepancies, and regularly automate reporting production processes.

Stakeholder Management

• Collaborate with agency teams and clients to support media efficiency initiatives.
• Present analyses confidently and translate complex data into clear business language.
• Participate in regular client meetings to share results, opportunities, and recommendations.
• Create and maintain clear documentation of processes and reporting production standards to foster knowledge sharing among teams.

Essential Qualifications (from the start of employment)

• Bilingualism (French and English) required to support bilingual client teams based in Montreal for meetings, communications, and report production, and to collaborate closely with media efficiency teams based in Ontario.
• Bachelor's degree in statistics, economics, data science, or a related quantitative discipline.
• 3 to 5 years or more of professional experience in analytics, data management, business intelligence, or data engineering, with an emphasis on advertising or marketing data.
• Intermediate knowledge of SQL, including the ability to write queries for extracting, transforming, validating, and harmonizing data from multiple sources. Experience with cloud data warehouses (BigQuery, Azure, Snowflake) is a plus.
• Excellent understanding of digital media metrics and measurement methods, including impressions, click-through rates (CTR), conversion tracking, attribution models, incrementality, and audience data.
• Experience with data visualization platforms (Looker Studio, Tableau, Power BI, or equivalent) and dashboard design.
• Excellent communication skills, with the ability to simplify complex analyses and present them clearly to executive-level stakeholders and clients.

Assets (training offered)

• Experience in creating and evaluating Key Performance Indicator (KPI) frameworks for clients, including defining success metrics, attribution models, and measurement standards aligned with business objectives.
• Basic knowledge of statistical modeling, including regression analysis, correlation, and hypothesis testing. Knowledge of Bayesian methods or causal inference is a plus.
• Experience in measuring the performance of multi-channel campaigns across platforms such as Google Ads, DV360, SA360, Meta, Pinterest, TikTok, GA4, etc. Specialization in one or two platforms is acceptable; knowledge development on other tools will be supported.
• Knowledge of Python or R applied to statistical modeling and analysis automation. Strong understanding of SQL and statistical concepts remains a priority.
• Experience with Marketing Mix Modeling (MMM) approaches. Prior exposure is a plus, but not required.
• Experience in experimental design and testing methodologies, including incrementality tests, A/B tests, and control group management.
• Additional Information

The masculine generic is used without discrimination and solely to simplify the text.

Vacancy: Does this offer aim to fill an existing vacant position? [Yes]

The salary range for this position is $70K – $78K. The salary will be within this range and determined based on various factors, including relevant experience, knowledge, and skills. A range of medical, dental, REER, paid leave, and/or other benefits is offered to all permanent employees.

AI Disclosure: Dentsu uses artificial intelligence tools as part of its recruitment process, particularly during the search and pre-selection stages. All other parts of the application and hiring process do not use artificial intelligence tools.

Diversity and Inclusion Commitment: We know from experience that diversity of ideas, perspectives, and backgrounds fosters a stronger and more creative work environment that generates better business results. We strive to create workplaces that reflect the clients we serve and where everyone feels empowered to be their authentic selves.

Accessibility: We are committed to working with candidates of all ability levels throughout the recruitment process to ensure they have what they need to perform at their best. If you require accommodations during the application or interview process, please contact Canada.Recruitment@dentsu.com to initiate a conversation about your individual accessibility needs.

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