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Associate Director, Media Analytics
GroupM
New York, NY, United States
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Job Description
At Maxus, our clients demand accountability, as such our Media Effectiveness team is central to our strategy and operational efficiency. The Associate Director of Media Analytics will be responsible for finding the insights that matter most through data exploration and model building. A key focus for this role will be around building models that predict revenue/profit as a function of media investment, competitive activity, geography, and market segment. The Associate Director will be responsible for designing, implementing, executing and refining these models as well as staying ahead of industry trends and new solutions. The ideal candidate will be passionate about problem solving and constantly exploring ways to improve on our current offering.
Responsibilities
• Advanced Analytics: Building media mix models, geo-spatial, store-level sales models, and ARIMA models.
• Performance Attribution Modeling: Utilizing and advancing existing proprietary models that identify linkages between all conversions and all media drivers. Working closely with clients and account teams to assess the challenge, discuss the possible solutions, and execute a plan.
• Data Visualization and Advanced Reporting: Assist with moving away from Excel-centric reporting by contributing to the design and implementation of interactive, web-based reporting built with best-in-class data visualization software.
Skills and Experience
• Bachelor’s degree required. Advanced degree strongly preferred.
• 7 - 10 years of experience in marketing analytics and / or research including media attribution, test design, and statistics applied to marketing.
• Demonstrable strategic thinking and analysis skills, as well as the ability and confidence to draw conclusions and recommendations from a business perspective.
• Excellent communication and client relationship skills with a proven history of building and maintaining relationships.
• The ability to translate results into clear, concise presentations, written reports, and data visualizations.
• Resourceful and creative — must bring fresh insights and not be discouraged when all the data is not readily available.
• Proficient in 1 or more statistical software packages (ie: R, SPSS, SAS, Alteryx, Python, Hive)
• Highly skilled in accessing data from relational databases (ie: SQL Server, AWS, S3 Bucket)
• Experience with typical media platforms (ie: Prisma, Sizmek, Marin)
• Strong time-management skills and the ability to multi-task, collaborate successfully with teams, and work under pressure