Education: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Database & SQL: Highly proficient with database querying (e.g., SQL) and creating dashboards/reports.
Data Extraction: Experience extracting requisite data from analytical data marts using SQL and producing appropriate visuals in Google Sheets/Slides to respond to business questions.
Data Visualization & Optimization: Experience transforming data into metrics, creating visualizations, and optimizing code for efficiency and responsiveness in dashboard technologies.
Statistical Analysis (Preferred): Experience executing statistical analyses using programming languages (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation.