Senior Executive - Analytics (Marketing Mix Model)

Senior Executive - Analytics Overview of job :-Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.We are currently looking for a Sr Executive – Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength so we respect and nurture their individual talent and potential.Reporting of the role - This role reports to the Director - Analytics, 3 best things about the job: 1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients2. Build and be a part of a dynamic team3. Being part of a global organisations with rapid growth opportunitiesResponsibilities of the role: Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid. Work with large data sets via hands-on data processing to produce structured data sets for analysis. Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python.What you will need: Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science or quantitative field. 2-3 years’ experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models.  Proficiency in one or more coding languages – preferred languages: Python, R Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI Proficiency in using SQL. Proficiency with one or more statistical tools is a plus – Example: SPSS, SAS, MATLAB, Mathcad. Working experience using big data technologies (Hive/Hadoop) is a plus