dentsu · 12 hours ago

Manager, Analytics

New York, United States

Full-time

Remote

Mid Level

$78K/yr - $126K/yr

4+ years exp

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data strategy implementationAdvanced analyticsStatistical methodologiesPythonRSQLTableauLinear RegressionLogistic RegressionARIMAKalman FilterBSTSDecision TreesRandom ForestFactor AnalysisKNNK-Means

Required

At least four years of analytics experience in a data-driven agency environment.

Bachelor's degree in Statistics, Economics or related quantitative field.

Foundation in either Python or R, with working knowledge of the following libraries/modules: Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib.

Ability to communicate complex data challenges and insights to a range of audiences.

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.

Proficient in SQL & Tableau.