Data Analyst Scientists work closely with project product managers, and internal teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Other responsibilities include providing data that is congruent and reliable. They need to be creative thinkers and propose innovative ways to look at problems by using data mining approaches on the set of information available. They will need to validate their findings using an experimental and iterative approach. Also, Data Scientists will need to be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts. As a direct support to the Growth team, you will lead, define, prioritize, build and deploy new products and features that directly impact our ability to aggressively acquire and activate new merchants. You will also own merchant account management tools and other internal tools.
Understanding of web tracking methods and reporting tools. Deep understanding of BI and when to use an ETL process vs an ELT process Understanding of Data visualizations and chart types needed to tell the correct story Prior experience with different data visualization tools Knowledge of Agile product development methodologies Strong entrepreneurial drive and ability to thrive in a start-up environment Strong SQL experience Strong NoSql DB experience R programming language Spreadsheet tools like Excel Descriptive and Inferential statistics Experimental design Visual Encoding Data Presentation Knowing Your Audience
Data analysis and data programming 4 years of experience
Tagged as: ingeniería