Job
Description
Position: BI Developer and Data Analyst: Skills: Power BI, Databricks, SQL, Python, ETL, RedShift or Athena, AWS Services (beyond QuickSight) Experience: 4+ Responsibilities Design, develop, and maintain interactive and insightful dashboards using QuickSight. Conduct advanced data analysis to identify trends, patterns, and anomalies, providing meaningful interpretations and recommendations. Collaborate with stakeholders across different departments to understand their data needs and translate them into effective analytical solutions. Write and optimize SQL queries to extract, transform, and load data from various data sources. Utilize Python for data manipulation, automation of tasks, and statistical analysis. Ensure data accuracy, integrity, and consistency across all dashboards and analyses. Document dashboard specifications, data sources, and analytical methodologies. Stay up-to-date with the latest trends and best practices in data visualization and analytics. Qualifications Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline. Required Skills Data visualization best practices. Proven experience in developing advanced dashboards and performing data analysis. Ability to create clear, intuitive, and impactful visualizations (charts, graphs, tables, KPIs) that effectively communicate insights. Extensive experience with AWS QuickSight (or similar BI tool): Hands-on experience in building, publishing, and maintaining interactive dashboards and reports. QuickSight data sources: Experience connecting QuickSight to various data sources, especially those common in AWS environments (e.g., S3, Redshift, Athena, RDS, Glue). QuickSight dataset creation and management: Proficiency in creating, transforming, and optimizing datasets within QuickSight, including calculated fields, parameters, and filters. Performance optimization: Knowledge of how to optimize QuickSight dashboards and data for speed and scalability. Preferred Skills Experience with other data visualization tools. Familiarity with machine learning concepts. Show more Show less
