Senior Data Scientist
CurrentParticipate in the development of data science strategy and tactics to support Hourly strategic objectives to become a data-driven company.Develop innovative data analytics solutions with high value adding in terms of business impactPromote data science & analytics to increase business insights to resolve technical issues or support decision-making processesData warehouse and analytics data marts design and implementation using complex SQL structures, AWS data functions (javascript and python based), and CDC (change data capture) data flows to update the data.Domo's data visualizations (cards and pages) design and implementation using multiple data sources such as Google Sheets, AWS Postgres Databases, cloud data connection, and specialist SAAS applications such as Web Quickbooks, Hubspot, Slack, Jira, Trello, Bamboo, etc. Domo's cloud data integration using multiple writeback connectors.Domo's users and groups governance, content management, security admin, and credits consumption management.Alerts and reports design, implementation, and schedule using single and personalized data permissions security.Strong activities in the design and implementation of ETL on Domo using simple data views, Magic ETL, SQL Transformations, and Adrenaline.Domo's automation design and implementation of business processes using BPM (business process management) workflows to process automation, governance, approvals, and data orchestration, using the Domo-native's Code Engine runtime environment with custom-designed JavaScript and Python code.Implementation of pre-build Domo apps from Domo's Appstore (Financial, Sales, Marketing) and custom Apps designed in Apps Studio.