Account Manager - MTL

As an Associate Manager on OMD’s Marketing Science team, you will lead a team of analysts across a number of high-profile clients. You will work closely with the Analytics Directors to manage resources, implement process improvements and provide mentorship within a tight knit account team consisting of analysts, media planners and strategists as they work to analyze data and deliver valuable and relevant insights. Through data-driven insights, you will have the opportunity to shape the strategic direction of a client’s marketing strategy.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Information Management, Social Sciences or Business/Marketing related fields (advanced degree - MBA/MS - is preferred) 
• 2-3 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