Data Science Associate
Role details
Job location
Tech stack
Job description
stakeholders at our clients on regular basis to drive their business towards impactful change - Become the go-to person for end-to-end data handling, management, and analytics processes. - Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs. - Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization. - Become part of a fast-growing international and diverse team What you will do - Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics. - Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc. - Communicate analyses via compelling presentations. - Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations
Requirements
from data and analysis - Prepare and facilitating workshops - Manage stakeholders and communicating with executives - Coach and mentor team members What you'll bring - 3-5 years of professional experience in the analytics domain. - Advanced degree in a quantitative discipline (e.g., Mathematics, Computer Science, Programming, or related field). - Strong analytical mindset with the ability to break down complex problems, formulate hypotheses, and derive actionable recommendations from data analysis. - Strong technical expertise in data analysis, statistics, and programming, with proficiency in Python, Hadoop, SQL, and/or R. - Hands-on experience with Python data libraries and tools such as Jupyter, Pandas, Scikit-Learn, and Matplotlib. - Ability to communicate effectively using the language of statistics, finance, and economics is a plus. - Fluent in English and Spanish (written and spoken). At Metyis, we are driven by curiosity and collaboration. We value