Roles and Responsibilities

• Work with large data sets and apply advanced analytical methods as needed, deriving valuable insights from data to drive business and product outcomes


• Develop deep understanding of the products and collected data points, enhance data collection procedures to include information that is relevant for building analytic systems


• Process, cleanse, and verify the integrity of data used for analysis, build analysis pipelines to provide insights at scale.


• Present analysis and insights to stakeholders and advocate for positive change


• Build, test and deploy optimization, forecasting/prediction models to solve business and product needs, e.g. pricing optimization, churn prediction, customer segmentation, building adaptive engines

Requirements

• Professional degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Data Science) or equivalent practical experience.


• At least 4 years of work experience in data analysis related field and in-depth knowledge of advanced analytical methods


• Should be able to work independently, select the right tools, algorithm and technology for the problem at hand


• Excellent verbal and written communication skills (including presentation skills)