Senior Analyst, Measurement & Attribution

dentsu•Chicago, IL

1d•$78,000 - $107,000•Hybrid

About The Position

As a Senior Analyst, Measurement & Attribution, you will play an important role in our US-based attribution modeling capabilities. Reporting into the Senior Manager, 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 ensure data quality control Promote innovation in analytics to exceed client expectations Implement and refine attribution models Interpret and visualize model estimates and diagnostics Champion continuous improvement and strategic evolution 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 (I.e., Naïve Bayes, Markov Chain, Random Forest) Advanced modeling skills with Python and R Cloud environment experience, especially GCP and AWS Experience working with platforms like Databricks (advantageous if you have this) Data visualization experience with tools like Tableau or Power BI (advantageous if you have this) 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 with teammates, especially global teams, to share insights and techniques The annual salary range for this position is $78,000-$107,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com . To begin the application process, please click on the "Apply" button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps. At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

Requirements

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 (I.e., Naïve Bayes, Markov Chain, Random Forest)
Advanced modeling skills with Python and R
Cloud environment experience, especially GCP and AWS
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 with teammates, especially global teams, to share insights and techniques

Nice To Haves

Experience working with platforms like Databricks (advantageous if you have this)
Data visualization experience with tools like Tableau or Power BI (advantageous if you have this)