• You have a Bachelor's Degree in Mathematics, Physics, Statistics, Econometrics, Computer Science or a related quantitative field
• You have 2-4 years of experience with data analysis, and data storage techniques
• You are proficient using SQL, with large scale data warehousing (Redshift, Google Big Query or similar)
• You have good knowledge of statistics and the ability to collect, organize, and disseminate significant volumes of information with attention to detail and accuracy
• You have good understanding of A/B testing methodology
• You are familiar with at least one of the cloud based business intelligence solutions (Mode, Tableau, Looker, etc.)
• You are experienced in at least one Data Mining capable language: R or Python. Excel is not enough
• You are familiar with Version Control systems (we use the Git)
• You understand several traditional Machine Learning and predictive algorithms, as well as basic NN concepts

Desirable

• As part of Data Analytics Team you will work to grow and expand our data platform to solve current and future challenges. You will be working with multiple data-sources contributing to transform the data into business knowledge
• Understand business objectives and goals working together with other departments, interpret data, analyze results using statistical techniques to improve product features and identify new revenue opportunities
• Design and execute product A/B tests and derive conclusions from observed user behavior. Advice recommendations and solutions from an analytics standpoint
• Work closely with data engineers to develop and deploy tools and techniques which allow large scale analysis
• Extract business insights from the large company’s datasets making use of predictive algorithms and ML
• Guide and train business stakeholders in order to allow them achieve high level of autonomy analyzing data
• Assess current data quality and suggest improvements or adjustments in order to keep it up to date according to the Company reality