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    Manager, Attribution - Laurel, United States - Merkle

    Merkle
    Merkle Laurel, United States

    2 weeks ago

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    Description

    Job Description

    Job DescriptionCompany Description

    Remote - USA

    Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency's heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 9,600+ employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the US, EMEA, and APAC. In 2016, the agency joined the Dentsu Aegis Network. For more information, contact Merkle at Merkle or visit

    Job Description

    The Manager will be an integral part of our US-based attribution modeling capabilities. This role will be responsible for leveraging data science techniques to examine marketing activities and to estimate their business impact to our clients. These projects will include, but are not limited to, Media Mix Optimization or Marketing Mix Modeling, Analysis of Covariance (test & control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data. This person will be a "player coach"; in some cases, the Manager may lead a team coordinating with some of our most important clients on data acquisition, modeling, and presentation of results on high-visibility projects. In other cases, the Manager will be hands-on keyboard helping to revise code and drive innovation. This role will work with and manage a US-based and India-based team.

    Key Responsibilities

    • Coordinate and manage data collection with clients
    • Lead project teams to manage data quality and develop processes to ensure data quality
    • Manage project teams effectively to drive innovation in analytics and deliver on client expectations
    • Supervise and, as needed, conduct modeling of client data adhering to project timelines
    • Interpret and visualize model estimates and diagnostics
    • Drive process innovation and continuous improvement
    Qualifications
    • Bachelor's degree in at least one of these fields preferred: statistics, economics, applied mathematics, optimization, computer science, physics; advanced degree preferred.
    • 4+ years of experience leveraging analytics to measure marketing effectiveness with a focus on measurement and attribution
    • Experience working with and measuring TV, digital media, and CRM data
    • Deep knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.)
    • Advanced modeling skills with Python and R
    • Cloud environment experience, especially GCP and AWS
    • Experience working with platforms like Databricks a plus
    • Data visualization experience with tools like Tableau or Power BI a plus
    • Understand marketing objectives and how different media channels support these objectives
    • Strong communication skills, with the ability to present information in spoken, written or visual form to a variety of audiences, from internal teams to external client executives.
    • Ability to balance and manage your project team's client engagements
    • Track record of collaboration with teammates, especially global teams, to share learnings and techniques
    • Skilled at coaching, developing, and managing a team
    Additional Information

    The anticipated salary range for this position is ($94,000-$157,000). 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

    #LI-MZ1 #LI-Remote

    About dentsu
    Dentsu is the network designed for what's next, helping clients predict and plan for disruptive future opportunities in the sustainable economy. Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society.

    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.


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