Summary of Role:
As a Manager on the Marketing Science team, you will develop actionable insights through quantitative analysis, innovative 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.
Role Expectations:
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.)
- Behavioral data sources (Acxiom, Experian, Clickstream, Location, IRi, Liveramp)
- 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.
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.
OMG Canada s'engage à offrir un environnement de travail qui non seulement respecte, mais promeut activement l'inclusion, la diversité et l'équité par l'action (IDÉA). Cet engagement a pour objectif que la composition de notre main-d'œuvre reflète la diversité avec une représentation des groupes sous-représentés. Il détermine également la façon dont les membres de notre équipe, notre leadership, notre service à la clientèle, nos pratiques de travail et nos relations avec tou.te.s les intervenant.e.s sont façonnées.
Nous traiterons vos données personnelles conformément à notre avis de confidentialité en matière de recrutement qui est disponible à l'adresse suivante https://omnicommediagroup.com/recruitment-privacy-notices/.
