Manager, Analytics-Remote

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

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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.

About dentsu
Dentsu is an integrated growth and transformation partner to the world’s leading organizations. Founded in 1901 in Tokyo, Japan, and now present in more than 110 markets, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society.

Dentsu, Innovating to Impact.

Find out more:
https://www.dentsu.com/
https://www.group.dentsu.com/en/

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.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.