Lead Analyst (Attribution)

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 Lead Analyst will play an important role in our US-based attribution modeling capabilities. Reporting into the Sr. Director, you will use 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 and control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data. You will be hands-on keyboard building and revise code and inspire creativity.

You Will:

• Manage data collection with clients
• Develop reports and processes to manage data quality control
• Drive innovation in analytics and achieve client expectations
• Implement and develop attribution models
• Interpret and visualize model estimates and diagnostics
• Drive innovation and continuous improvement

You Have:

• Bachelor's degree in at least one of these fields preferred: statistics, economics, applied mathematics, optimization, computer science, physics; (preference for advanced degree).
• 2+ 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 these goals
• Experience presenting information in spoken, written or visual form to a variety of audiences, from our teams to external client teams
• Experience with collaboration …