Manager, Marketing Science
Omnicom Media Group
- Chicago, IL
- $70,000-100,000 per year
- Permanent
- Full-time
Qualifications
- Experience: 5-6 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
- 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
- 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
- Client Presentation: Present findings/insights as well as methodology/data approaches reliably to clients through a variety of different presentation opportunities
- 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
- 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: 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 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