Masters degree in Business Administration, Computer Science, Engineering, a related field, or a foreign equivalent plus 2 years of postbaccalaureate experience in job offered or related role. In Lieu of a Masters degree and 2 years of Experience, Employer is willing to accept a Bachelors degree in Business Administration, Computer Science, Engineering a related field, or a foreign equivalent plus 5 years of progressively responsible postbaccalaureate experience in job offered or related role. Applicants must have 2 years of experience 5 in possession of a relevant Bachelors Degree in the following 1 writing SQL to query datasets and data warehouses for Aggregation, Validation and Consolidation of Relevant Data; 2 using SQL to Develop automated data validation and query a variety of data formats for analysis; 3 marketing analytics, hypothesis testing and reporting; Statistical Analysis, Machine learning and Predictive modeling; 4 leveraging Python to write extract transform and load scripts and leveraging visualization tools to share insights; 5 leveraging Python to develop prototype of machine learning models for hypothesis testing and validation and develop reusable scripts for transfer of data across systems; 6 Data Engineering tools including Hive, Impala and AB testing frameworks; and 7 translating data analytics into business solutions including building analytics tools that utilize data driven insights to provide business performance metric insights into customer acquisition, engagement, retention, and operational efficiency.
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