Job Details
Position: Senior Associate, Marketing Science
Location: Los Angeles, California
As a leading global media network, Omnicom Media Group (OMG) sets itself apart with an agile, client-first approach that helps businesses thrive today and into the future. With more than 21,000 employees globally, OMG has the talent, expertise and clout to deliver unprecedented levels of innovation for our clients. The group is comprised of some of the world's most awarded agencies. From leadership to entry-level talent, we are a diverse mix of ages, genders, ethnicities, skill sets and backgrounds.
Our Marketing Sciences team is at the forefront of this transformation and focuses on extracting growth for our clients through the use of data-driven marketing. The breadth of skills required to lead this transformation is important: our leaders know how to use data:
- to inform audience strategies in support of the planning team,
- to extract insights on how to optimize campaigns and apply past learnings to support the investment strategy,
- to measure business outcomes driven by our marketing efforts,
- to understand drivers for business growth to support our clients marketing decisions.
The Marketing Sciences team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients business goals.
Qualifications
- Bachelor s degree in Statistics, Mathematics, Economics, Engineering, Information Management, Social Sciences or Business/Marketing related fields (advanced degree - MBA/MS - is preferred)
- 1-2 years of experience in a quantitative data driven field
- A passion for digital marketing, research and analytics
- Excellent communication and presentation skills
- Ability to work well with others and work in cross functional teams
- Ability to manage and prioritize a number of concurrent tasks
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Comprehensive knowledge of ad technologies and research techniques (how they work, and how to troubleshoot)
- Ability to set individual goals for analysts and measuring individual success/performance
- Experience/familiarity in SAS, SPSS, R or other advanced analytics software packages
- Experience/familiarity in ad-serving and web analytics tools (Google DFA, Atlas, Google Analytics, Omniture, etc.)
- Experience/familiarity with concepts of database design and SQL
- Experience/familiarity with syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
- Experience/familiarity with digital ad effectiveness research
- Proficiency with Microsoft Excel and PowerPoint & a Data visualization tool (Tableau)
- Familiarity with web technologies including HTML and Javascript
Responsibilities
- 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
- 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
OMD is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.