Supervisor, Marketing Science

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 th

Benefits

Additional Information

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

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