Employer requires a Bachelors degree in Computer Science, Industrial Engineering, or a closely related quantitative field and at least five 5 years of progressively more responsible work experience in an occupation within the business analytics or data science fields.br br In addition, the successful candidate must have the followingbr br Demonstrated knowledge of data visualization tools like QlikView, Tableau, or Looker with interactive views, trends, and drilldowns to create digestible KPI dashboards gained through five 5 years of work experience.br Demonstrated ability analyzing data by combining multiple sources and using it to produce actionable business recommendations gained through five 5 years of work experience.br Demonstrated ability partnering with crossfunctional stakeholders to identify and translate business questions into analyses or data automation opportunities and lay the project roadmap for the team gained through three 3 years of work experience.br Demonstrated knowledge of advanced SQL techniques windows functions, JSON flattening, common table expressions, UDFs, etc. for data investigation, transformation, and analysis of the relevant data gained through five 5 years of work experience.br Demonstrated knowledge of software programming tools Python or R for analytics development gained through three 3 years of work experience.br Demonstrated ability working with data store and processing technologies such as MySQL, Redshift, S3, Athena, Snowflake, Presto, MapReduce, or Spark to operationalize, and model the datasets to facilitate user application gained through three 3 years of work experience.br Demonstrated ability with data science modelbuilding to develop regression, classification, and anomaly detection models while working with stakeholders to reviewvalidate model results gained through three 3 years of work experience.br br All years of experience may be gained concurrently.
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