Responsibilities

• Client Management: Work closely with directors and Strategy team to help drive overall strategy and associated tactics to meet client’s goals
• Client Management: Work closely with the media and investment teams as well as external partners to facilitate and deliver succinct and clear information to the clients
• Client Management: Act as the main point of contact for day-to-day clients, delivering timely and detailed responses
• Client Management: Receive and prioritize deliverables, as well as ad hoc requests to ensure they are executed on time and to client expectations
• Client Management: Effectively present recommendations and ideas as well as merchandise successes through storytelling
• Client Management: Bring new proactive ideas to help meet client goals and grow business
• Client Management: Anticipate client’s needs and proactively design solutions to address them
• Team Management: Effectively manage, train, and develop an analysts
• Team Management: Support directors with day-to-day requests as well as ongoing deliverables by disseminating and delegating appropriately across the team
• Team Management: Educate team on latest trends, best practices, technologies, etc.

Requirements

• Minimum 4 years of experience in a quantitative, data-driven field
• A passion for digital marketing, research, and analytics
• Excellent communication and presentation skills, with the ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
• Comprehensive knowledge of ad technologies and research techniques
• Ability to move beyond descriptive analytics and employ more sophisticated techniques (predictive and prescriptive analytics)
• May be required to take on ad hoc assignments, projects, and responsibilities as needed to support business objectives, client needs, and operational requirements.
• These technical skills are listed to give you a general idea of the tools and techniques you will use in this role:
• - Experience/familiarity with Alteryx, Python, SAS, SQL, Tableau or other analytical software packages
• - Experience/familiarity with ad-serving and web analytics tools Google DFA, Atlas, Google Analytics, Omniture, etc.
• - Experience/familiarity with syndicated research sources/tools Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, and comScore