Manager, Analytics

Job Description:

WE WELCOME REMOTE U.S.-based CANDIDATES

Merkle is a leading technology-enabled, data-driven customer experience management (CXM) company. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. 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. Merkle is an agency of dentsu.

Job Description

The Manager will play an important role in our US-based attribution modeling capabilities. Reporting into the Sr. Director, you will leverage data science techniques to examine marketing activities and to estimate their growth to our clients. These projects will include Media Mix Optimization or Marketing Mix Modeling, Analysis of Covariance (test & control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data. You 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 revising code and drive innovation. You will collaborate with and manage a US-based and India-based team.

You Will:

• Manage data collection with clients
• Lead project teams to manage data quality and develop processes to ensure data quality
• Manage project teams to drive innovation in analytics and achieve client expectations
• Oversee and conduct modeling of client data following project timelines
• Interpret and visualize model estimates and diagnostics
• Guide process development and continuous improvement

You Have:

• A Bachelor's degree in at least one of these fields preferred: statistics, economics, applied mathematics, optimization, computer science, physics; (preference for an advanced degree)
• 4+ years of experience applying analytics to measure marketing effectiveness with a focus on measurement and attribution
• Experience working with and measuring TV, digital media, and CRM data
• 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
• An understanding of marketing goals and how different media channels support them
• A background presenting information in spoken, written or visual form to a variety of audiences, from our teams to external client executives.
• Experience balancing and managing your project team's client engagements
• Experience collaborating with global teams, to share insights and techniques
• Experience managing a team

Additional Information

The anticipated salary range for this position is $94,000-$152,375. Actual salary will be 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 dentsubenefitsplus.com

#LI-remote #LI-LE1

Location:

USA - Remote - Maryland

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

  

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