GroupM is the world’s leading media investment company with a mission to create a new era of media where advertising works better for people. Responsible for more than $60 billion in annual media investment, according to COMvergence, the company innovates, differentiates, and generates sustained value for clients wherever they do business. GroupM’s portfolio includes agencies Mindshare, Wavemaker, EssenceMediacom and mSix&Partners, as well as Choreograph (Data & Technology), GroupM Nexus (Cross-Channel Performance & Activation), and GroupM Investment. Discover more at www.groupm.com.

As a senior data analyst within the analytics team, you will work in an environment where everyone is passionate about data, analytics and self-development with a client-centric focus. You will have an opportunity to deploy advanced data engineering, data science tools and techniques to media analytics.

YOUR IMPACT

• Develop, test and deploy machine learning models such as conversion attribution models, bid optimization etc. to address client business issues regarding advertising, media, competitive and new products
• Develop econometric modeling and simulations/forecasts applied to marketing mix optimization, campaign segmentation, optimization and customer lifetime value analyses
• Analyze data and generate visualizations and insights for use in client presentations
• Extract, analyze, and synthesize data from a variety of sources to measure and report on online and offline customer behavior.
• Act as subject matter expert on the effective use of analytical tools, methodologies and industry happenings
• Build forecasts and budgets to optimize clients media plans
• Act as primary day-to-day contact on insights and analytics clients: develop business requirements, collect and analyze data, present results
• Manage project timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with project managers and directors

Your Qualifications

• Bachelor’s degree in Analytics, Statistics, Economics, or Applied Math is required.
• 2+ years related work experience, preferably in media analytics
• Experience developing scalable Machine learning applications
• Fluency in SAS, SPSS, R or any other advanced analytics software package
• Experience in R, Spark-Scala, Python or SQL
• Experience in a cloud computing environment such as GCP, Azure or AWS
• Experience in visualization tools such as Tableau, Excel, Power BI
• Strong analytical skills; ability to analyze data, draw conclusions, and develop actionable recommendations using analytical, statistical and econometric modeling techniques.
• Knowledge of digital ecosystem (ie. ad servers, attribution, tagging, ad verification) and traditional advertising preferred
• Strong critical thinking and problem solving skills – a demonstrated ability to mine data for relevant and actionable insights
• Excellent written, oral communication, project management and presentation skills..