As a Supervisor on the Marketing Science team, you will develop actionable insights through quantitative analysis, cutting-edge thinking, and your industry knowledge to be a key contributor towards tactical and strategic efforts. You will use your strong analytic and technical knowledge to evolve campaign and strategic deliverables that meet our client’s business needs. You will be expected to be able to manage both people and process across multiple Marketing Science functions.
Areas of Responsibility: Client Relationship Management, Growth & Retention Client Presentation: Present findings/insights as well as methodology/data approaches reliably to clients through a variety of different presentation opportunities
Team Operations Collaboration: Connect across planning, investment, and technology teams to ensure holistic understanding of data
Management: Start your management career by having Associate, Sr. Associate and Associate Managers reporting into you and managing their workload and career development
Audience Discovery & Strategy Data Analysis: Become more seasoned in audience definition, creation and strategy using multiple data sources
Data Analysis Management: Manage your team to organize and analyze data and facilitate insight generation for which you will be responsible
Data Sources: Employ solid understanding of Audience data sources and how to best leverage them for each type of analysis
Measurement & Reporting Measurement: Develop breadth of knowledge measurement strategy, frameworks and technology
Benchmarks & Goals: Set benchmarks and targets based on historical campaign data
Reporting & Optimization: Oversee and QA the development of reports and directing optimization initiatives
Insights: Hone the ability to know what an insight is, and developing them for the campaigns
Data Strategy & Technology Data Technology Utilization: Manage your team to oversee automation and improve processes for efficiencies
Data Management:



Be accountable for the maintenance and QA of data systems and processes used for reporting and on-Going data analysis
Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker
Ad Operations: Apply advanced understanding of Ad Operations and QA procedures
AdTech/MarTech: Evaluate and compare data, ad and MarTech vendors
Desired Experience: Client: Experience partnering with mid-level and junior clients on key deliverables
Management: Prior management of teams of 1+ Marketing Science staff including Assoc. Manager/Sr. Analyst and below
Data Knowledge: Broad experience using different types of behavioral data and/or syndicated research data sources
Analytic Mindset and Creativity: Ability to creative problem solve
Cross-Channel Analytics: Solid understanding of offline and online channel KPIs
Structured analysis/statistical understanding: Application of basic statistical methods to data analysis
Media Foundations: Solid foundation of understanding media strategy, budget setting and channel selection
Data Science: Experience managing or applying more sophisticated advanced analytics/statistics using code
Process Management: Basic experience creating documentation and development of repeatable, scalable processes
Desired Technical Skills: Strong proficiency with MS Excel, PowerPoint are a must
Breadth of experience using
Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.)
Syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
Cross-media brand lift research (Kantar, Lucid, etc.)
Applications of at least two of the following
Data visualization” tools such as Tableau, Datorama,



Alteryx
Advanced analytics software package: SQL, R, Python or other
Concepts of database design and SQL
Requirements: Experience: 3-5 years of experience, preferably in marketing analytics
Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling
Education: Bachelor’s degree in math, economics, engineering, social sciences, finance, analytical fine arts, or business/marketing fields
OUR PROMISE We want you to live an experience that matches your talent!
We are committed to providing you with multiple learning experiences to continue developing your talent.
We offer a work environment that promotes the sharing of ideas and opinions, fun, and success.
We offer you competitive remuneration and benefits that will make you say that choosing us was the best decision
COMMITMENT TO IDEA OMG is dedicated to cultivating a workplace that not only respects but actively champions Inclusion, Diversity and Equity through Action (IDEA). This commitment ensures that our workforce composition intentionally reflects the rich cultural mosaic of Canada with representation from various dimensions of diversity. It also drives how our team members, leadership, client services, employment practices, and relationships with all stakeholders are shaped.
We will process your personal data in accordance with our Recruitment Privacy Notice which is available on https://omnicommediagroup.com/recruitment-privacy-notices/
AI DISCLOSURE Omnicom Media uses artificial intelligence in our recruitment process to enhance job postings and streamline the screening and selection of prospective candidates. Our team will then review top applicants, ensuring that human judgement guides our hiring decision.
This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.
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📌 Supervisor, Marketing Science (Ontario)
🏢 PHD
📍 Ontario