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Analyste senior bilingue (FR/ENG), Efficacité Média (Données et Investissements Médias) / Bilingual (FR/ENG) Senior Analyst, Media Effectiveness (Media analytics & Media investments)

Dentsu
Montréal, CAN
Full-time
Senior · 3+ years experience
Onsite
Discovered 3 weeks ago
azurebigquerylookerpower-bipythonsnowflake

Full Job Posting

Responsibilities:

  • Reporting & Analytics
  • Lead campaign measurement and performance reporting across media platforms, including Google Ads, DV360, SA360, Meta, Pinterest, TikTok, GA4, Adobe and more.
  • Develop reporting infrastructure working with client and internal stakeholders for performance tracking.
  • Deliver clear, data-driven narratives, insights and recommendations to internal and client teams with confidence.
  • Consult on the execution of media impact and incrementality tests; support test design, data collection, statistical interpretation, and run analysis on test results to validate media effectiveness.
  • Support the team in running relational statistical models (regression analysis, Bayesian methods, etc.) to evaluate causality and isolate media impact from confounding variables.
  • Translate competitive activity and market trends into actionable insights and performance recommendations for internal and client teams.
  • Dashboard & Data Management
  • Design and maintain client dashboards across various visualization platforms (Looker Studio, Tableau, Power BI, etc.).
  • Working with data engineering teams, create and maintain API connectors to media platforms; extract, transform, and harmonize raw advertising data into reporting-ready datasets in Azure or BigQuery.
  • Monitor data quality, resolve discrepancies, and automate reporting processes regularly.
  • Stakeholder Management
  • Collaborate with agency and client teams to support media effectiveness initiatives.
  • Present insights confidently and translate complex data into clear business language.
  • Participate in regular client meetings, sharing updates, opportunities, and recommendations.
  • Create and maintain clear process documentation and reporting standards for cross functional learnings.
  • Requirements — What we need you to have
  • Must-Have (Day 1 Skills)
  • Bilingualism (English and French) is required to support bilingual client teams based in Montreal through meetings, communications, and reporting, and to collaborate closely with Ontario-based media effectiveness teams.
  • Bachelor's degree in Statistics, Economics, Data Science, or related quantitative discipline.
  • 3-5+ years of professional experience in analytics, data management, business intelligence, or data engineering focused on advertising/marketing data.
  • Intermediate SQL proficiency Ability to write queries for data extraction, transformation, validation, and harmonization across multiple data sources. Experience with cloud data warehouses (BigQuery, Azure, Snowflake) is a plus.
  • Deep knowledge of digital media metrics and measurement You understand impressions, CTR, conversion tracking, attribution modeling, incrementality, and audience data.
  • Experience with visualization platforms (Looker Studio, Tableau, Power BI, or similar) and dashboard design.
  • Strong communication skills You translate complex work into clear narratives for executive and client stakeholders.
  • Nice-to-Have (We Will Train)
  • Build and evaluate KPI frameworks for clients Defining success metrics, attribution models, and measurement standards aligned to business objectives. This is learnable with mentorship and exposure to client work.
  • Statistical modeling fundamentals Comfort with regression analysis, correlation, and hypothesis testing. Bayesian or causal inference methods are a plus.
  • Multi-platform campaign measurement experience Experience leading performance reporting across media platforms (Google Ads, DV360, SA360, Meta, Pinterest, TikTok, GA4, etc.). If you specialize in 1-2 platforms, we'll help you expand.
  • Python or R for statistical modeling Valuable for automating analysis and advanced modeling, but SQL + statistical knowledge is the foundation.
  • Marketing Mix Modeling (MMM) experience Prior exposure is valuable but not required. Training provided.
  • Experience with experimental design and testing frameworks Incrementality tests, A/B testing rigor, or holdout group management.
  • Additional information:
  • Vacancy: Is this posting for the purposes of filling an existing vacancy? [Yes]
  • The salary range for this position is $70K-$78K. 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 [email protected] or to begin a conversation about your individual accessibility needs throughout the hiring process.
  • #LI-AF2

Location:

  • Brand:
  • Time Type:
  • Contract Type:

Qualifications

  • What we need you to have
  • Must-Have (Day 1 Skills)
  • Bilingualism (English and French) is required to support bilingual client teams based in Montreal through meetings, communications, and reporting, and to collaborate closely with Ontario-based media effectiveness teams.
  • Bachelor's degree in Statistics, Economics, Data Science, or related quantitative discipline.
  • 3-5+ years of professional experience in analytics, data management, business intelligence, or data engineering focused on advertising/marketing data.
  • Intermediate SQL proficiency Ability to write queries for data extraction, transformation, validation, and harmonization across multiple data sources. Experience with cloud data warehouses (BigQuery, Azure, Snowflake) is a plus.
  • Deep knowledge of digital media metrics and measurement You understand impressions, CTR, conversion tracking, attribution modeling, incrementality, and audience data.
  • Experience with visualization platforms (Looker Studio, Tableau, Power BI, or similar) and dashboard design.
  • Strong communication skills You translate complex work into clear narratives for executive and client stakeholders.
  • Nice-to-Have (We Will Train)
  • Build and evaluate KPI frameworks for clients Defining success metrics, attribution models, and measurement standards aligned to business objectives. This is learnable with mentorship and exposure to client work.
  • Statistical modeling fundamentals Comfort with regression analysis, correlation, and hypothesis testing. Bayesian or causal inference methods are a plus.
  • Multi-platform campaign measurement experience Experience leading performance reporting across media platforms (Google Ads, DV360, SA360, Meta, Pinterest, TikTok, GA4, etc.). If you specialize in 1-2 platforms, we'll help you expand.
  • Python or R for statistical modeling Valuable for automating analysis and advanced modeling, but SQL + statistical knowledge is the foundation.
  • Marketing Mix Modeling (MMM) experience Prior exposure is valuable but not required. Training provided.
  • Experience with experimental design and testing frameworks Incrementality tests, A/B testing rigor, or holdout group management.
  • Vacancy: Is this posting for the purposes of filling an existing vacancy? [Yes]
  • The salary range for this position is $70K-$78K. 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 [email protected] or to begin a conversation about your individual accessibility needs throughout the hiring process.
  • #LI-AF2
  • Contract Type

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