Experience designing and implementing analytical data models using ERWIN and SQL language for data lake and enterprise data store. Experience building hypotheses using statistical tools and Python and R languages. Experience validating and testing hypotheses using Tableau, Datorama, and Microsoft Excel. Experience creating reporting for business using Tableau. Experience using Workflow management tools Cron, Digdag, and Airflow. Experience with Github, Confluence, and JIRA for release management and documentation. Experience using Google BigQuery, HiveQL, Google Cloud Storage, and Google Compute Instance in Google Cloud Platform GCP. Experience building analytics using Tableau, Domo, and Microsoft Excel. Experience developing data transformation pipelines using Python and HiveQL. Employer will accept any amount of experience with the required skills.br br Continuation of Section H.8 alternate combination of education and experience that is acceptable Bachelors degree or equivalent in Business, Finance, Accounting, Statistics, Engineering any, or related field and 1 year of experience in data analytics or related field; OR 3 years of experience in data analytics or related field.br br Continuation of Section H.10B acceptable alternate occupation Position does not require specific years of experience in an alternate occupation but requires experience with the skills listed in H.14.
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