Manager, Analytics

Job Description:

WE WELCOME REMOTE CANDIDATES RESIDING IN THE US.

As the Manager, Analytics you will lead the implementation of data-driven solutions for clients – including report automation and analysis – with the objective of optimizing the performance of digital marketing plans. You will use your experience applying advanced statistic and econometric methodologies, storytelling and insights to deliver upon the full range of analytic responsibilities for the client. You will work together with a Director to manage data and insight delivery processes, ensure performance forecasting, inspire creativity, and ensure all around team success.

You will be execution-focused, deliver under timelines, and manage data challenges in digital media and marketing. You will be required to manage complexity while collaborating across teams. You will report to the SVP, Analytics.

• You will lead implementation of overall data strategy on behalf of clients, including onboarding, data integration, reporting, measurement, advanced analytics (including operationalized machine learning), insight development, and forecasting

• You will understand important challenges facing both brand and performance teams, and develop relevant campaign measurement frameworks that outline measures of success, in-flight optimization levers, and learning opportunities

• You will ensure understanding between daily analytics support and approved measurement frameworks

• You will work with internal Client Services, Products and Services, and Strategy team members, and with team members within the client team, as a Data Science & Analytics subject matter expert

• You will prepare and deliver executive-level presentations for internal and external audience

• You will participate in team-wide culture of learning by staying current on current industry trends, developments in methodologies and technologies

• You will have at least four years of analytics experience in a data-driven agency environment. Bachelor's degree in Statistics, Economics or related quantitative field, required.

• You will have a foundation in either Python or R, with working knowledge of the following libraries/modules: Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib

• You will have the ability to communicate complex data challenges and insights to a range of audiences

• You will work with and understand several important econometric and statistical frameworks: Linear Regression, Logistic Regression, ARIMA, Kalman Filter, BSTS, Decision Trees, Random Forest, Factor Analysis, KNN, K-Means, etc.

• You will be proficient in SQL & Tableau

The anticipated salary range for this position is $78,000-$126,500. Salary is based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com.

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