What are the responsibilities and job description for the Director, Applied Analytics, Media Advertising position at Publicisgroupe?
Company description
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at center of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, Starcom partners with the world's leading marketers and brands, including Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more.Overview
As part of the larger Applied Analytics and Technology Department, the Applied Analytics team draws on the dynamic advertising technology space, digital and offline analytics, and evolving methodologies to address complex research and measurement challenges across Starcom client brands. The Director serves as the main point of contact for digital media measurement and analytics for our client. This Director, Applied Analytics will be responsible for using data and analytics techniques to answer client business questions and executing deliverables through a breadth of datasets and appropriate analytic techniques, storytelling, and data visualization. The Director uses data to quantify digital campaign performance and answer key business questions to inform media planning and buying.The right candidate will be comfortable managing client relationships in a media agency setting, have in depth experience with Market Mix Modeling and have the ability to make data-driven recommendations that meet the clients’ needs and move their business forward. The Director is a strong team leader, relationship manager and thoughtful decision maker.
Responsibilities
Execute, manage, and deliver best-in-class measurement to inform media buyingDevelop, manage, and mentor a team and lead strategic efforts and departmental visionDevelop approaches to address complex research and measurement challengesLead data-centered learning initiatives on client’s behalf to inform optimizations and impact future plansExecute measurement focused on ad / media effectiveness to drive campaign performanceLead and support analytics activities such as modeling and statistical analysisProactively educate internal and external clients on research, tools and approachesCommunicate opportunities, learnings and recommendations with authority and credibilityCraft POV’s for internal and external knowledge sharingEvaluate new and current data partners, and identify new approaches to ensure our research is cutting edgeLead and support media teams using syndicated data and proprietary tools to drive media targeting and budget allocationsLead discussions around KPI development, and technology integrations that can improve efficiency, range or quality of data, or support new mediaGuide internal and client teams on using comprehensive data visualization to build meaningful stories that influence decision-makingCollaborate with client contacts to establish deep knowledge of client’s business goals and challengesDevelop client Learning Agendas and construct and execute "test and learn" measurement and consumer research roadmaps tied business questions and key performance goals
Qualifications
Bachelor’s degree preferred, preferably with a concentration in marketing, advertising, communications, business, sociology, or consumer insights7 years in media / marketing research, consumer insight, business consulting, or digital advertising research / analytics / insight4 years of people management experience with progressing responsibilitiesA strong history of managing individuals, leading of teams, and client managementExcellent project management, organizational, and communication skillsStrong grounding in traditional and digital media advertising effectivenessFamiliarity with syndicated and customer data environmentsAdvanced knowledge of the measurement vendor marketplace and able to evaluate new capabilitiesExperience with statistical software packages (SAS,R, Python) a plusProficiency in Microsoft Office Suite with advanced understanding of ExcelExperience with visualization tools such as Tableau, GoodData, DatoramaFamiliarity with relational database concepts
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