Senior Manager, Audience Analytics

Company Description

Dentsu is a modern marketing solutions company. Our mission is to help clients navigate, progress and thrive in a world of change. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology. Part of Dentsu Group, our global network comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. Some of our award-winning agencies include 360i, Carat, dentsumcgarrybowen, DEG, dentsuX, iProspect and Merkle. Follow us on Twitter @DentsuUSA and visit dentsu.com/us. 

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Job Description

Ensure timely delivery of data, analytics and strategic consulting to support the client’s database marketing initiatives; Provide direction and manage the work processes and output of a team of database marketing analysts; Participate in creating and articulating relevant solutions for clients by evaluating client needs for quantitative analysis and in developing methods or processes for implementation; Leverage knowledge of statistical modeling techniques to provide suggestions or guidance to teams; Provide direction on and optimize clients’ multi-channel campaigns; Manage project tasks, timelines and deliverables inclusive of campaign production activities; Develop analytical solutions to client business problems; may pitch in the analysis and pull data or implement analytical solutions; Act as SME in the following techniques: Predictive statistical models, Customer profiling, Segmentation Analysis, Campaign Analysis, Data Analysis and Mining, Presenting ideas and findings to clients, Demonstrating thought leadership; Work independently with minimum supervision, lead projects and provide guidance to junior team members; Collaborate with business partners, prepare documents and presentation materials; and Act as subject matter expert, provide innovative and new ideas to improve existing processes by identifying and evaluating new data elements, advanced analytics methodology, and new techniques/tools.

Qualifications

Required Skills/Experience:

Must have experience with the following in order to complete the above-mentioned tasks:

• Experience with SAS, SQL, R, Python, logistic regression, multiple regression, machine learning;
• Experience using 3rd party data in combination with 1st party data for modeling;
• Ability to explain/present complicated/advanced analytical methodology and results to non-technical audiences;
• Ability to execute advanced analytic tasks (including but not limited to modeling, segmentation, DOE, forecasting, etc.) and create meaningful analytical outputs;
• Ability to translate analysis insights into actionable recommendations and strategies for marketers; Experience with modeling and statistical concepts;
• Experience with applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting, experimental and design, etc. to solve business problems;
• Possess core database marketing knowledge such as understanding of company and client data, relational database concepts, and direct marketing concepts;
• Possess core analytical competencies such as ability to formulate an analytical problem, QC data and results, summarize key findings/insights, make actionable recommendations, and develop new and innovative analytical solutions to solve challenging business problems; and
• Experience with campaign analytics.
• Requires a Bachelor’s degree or foreign equivalent in Statistics, Math, Economics or related scientific/quantitative field and at least five (5) years of experience as a Data Analyst or related occupation.
• Itinerant employment - employee may be required to work at various unanticipated locations throughout the U.S.
• Option to work from home.

Additional Information

Dentsu International’s radically collaborative team of diverse creators unifies people, clients and capabilities through horizontal creativity to help clients create