Manager, Analytics

Role Summary & Impact

In this role, you will be responsible for building and automating campaign insights and data-driven optimizations for programmatic media campaigns. You will work with Data Scientists to create custom algorithms and data insights/visualization that support internal and external teams to drive performance.

Skills and Experience

• Lead the development and deployment of GroupM products and services across multiple cloud environments.
• Gather, store and maintain big data sets for all digital marketing channels. Data sources include Ad Server, DSP, DMP, Ad Verification Collaborate with a cross-functional team of client leads, application developers, operations engineers and architects to translate complex product requirements into technical specs and design requirements.
• Optimize performance and cost-efficiency of cloud-based processes across multiple cloud environments (AWS, Azure, GCP). 
• Maintain a high degree of knowledge in cloud data architecture and ETL best practices especially across Google Cloud Platform products and services. 
• Develop and deploy automated scripts in Google, Azure or AWS cloud services to be used by other teams to increase productivity. 
• Facilitate architectural discussions and initiatives to ensure cloud-based products are optimally deployed with maximum availability of design features. 
• Formulate and execute robust UAT protocols to identify and address latent errors in product functions. 
• Design, build and deploy ETL and data management processes with reliable error/exception handling and rollback framework. 
• Provide production support for data load jobs and develop a customized query to generate automatic periodic reports. 
• Build applications writing SQL/Python scripts to manipulate data and/or writing specific instructions for off-shore programmers to write the script.

• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field. OR equivalent professional work experience. 
• 3-5 years of related work experience in the field of data engineering, marketing analytics, data science, and technology consultative environments Excellent client-facing, communication, and writing skills. 
• Expertise with Data Architecture fundamentals, database design, and programming, ETL and custom query development Strong skills in SQL/ Python and proven experience working with at least one of the major databases platforms required. 
• Experience with building data pipes into Azure/GCP/AWS for Data Profiling Tools, ETL and Data Management Tools Experience processing, developing/ cleansing data for AI/ML purposes required. 
• 2-3 years of experience with the following GCP or equivalent cloud services: Cloud Storage, DataProc, Dataflow, CloudSQL, BigQuery Experience using the Linux Command Line Experience with source code management systems. 
• Data warehousing/data modeling experience, with a strong understanding of semantic and physical data models.
• Experience with SCRUM or Agile methodology and project management tools. 
• Able to deliver a broad range of data engagements in areas such as Data Architecture, Data Integration, Data Analytics, Data Governance, Data Quality and BI Reporting.