Manager, Data and Analysis

5 - 7 years experience  •  Internet Services

Salary depends on experience
Posted on 09/21/17
5 - 7 years experience
Internet Services
Salary depends on experience
Posted on 09/21/17

What you’ll do:  


Customer database analytics, marketing consulting services, and digital media analytics: these are just a few of the ways our team assist clients in making smarter decisions and achieving greater results.


As a Manager – Data and Analysis,you’ll inspire teams to develop new paths for growth, while driving strategic thinking and economic insight across client engagements.


Day-to-day, your role includes:

  • Optimizing client budgets and programs through disciplined analysis for the best possible ROI and collaborating with other capabilities to build effective client strategies
  • Providing analytic, integrated marketing solutions to improve client decision-making
  • Maintaining functional expertise in areas like database marketing, integrated channel marketing, analytic tools and techniques, and otherinfrastructure
  • Offering direction and guidance to Analysts and Senior Analysts on all aspects of client deliverables
  • Tracking marketplace, technology and consumer demographic trends within and across multiple industries
  • Developing smart and compelling client presentations
  • Conducting primary and secondary research on market trends


We’re looking for strong, impactful work experience, which typically includes:

  • Previous experience working in the advertising world
  • A four-year college education (statistics, economics, finance, or marketing focus preferred) and, ideally, a Master’s degree
  • 5–7 or more years of experience in management consulting, advertising, or interactive/technology consulting, with proven experience managing teams and projects
  • Strong project management and communication skills – you are crystal clear when it comes to delegating and providing feedback
  • Intellectual curiosity and rigorous analytical experience and a strong familiarity with the digital environment
  • Knowledge of statistical modeling techniques, segmentation, research, lifetime value, and ROI
  • Fluency with Microsoft Office and proficiency in analytical tools such as SAS and SQL
  • Willingness to travel as needed – you’re open to new places, new faces and new ideas

Job ID  2017-25560

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