About the company
Creating a culture of collaboration in the U.S. From Austin and Atlanta to Highlands Ranch and our space in Mission Rock, our coast-to-coast hubs offer benefits, amenities and flexibility that complement each office, itās vibe and the unique people.
Job Summary
Responsibilities:
šPossess a strong understanding of data interpretation, and the ability to effectively represent data using appropriate visualization techniques to deliver actionable insights.
šFocus on the user experience to design interactive prototype with strong understanding of business context and data following the industry and Visa best practices.
šCollect, analyze, transform, and interpret raw data from various sources. š
šDesign and develop BI solutions, data models and KPI measures to solve business problems.
šAbility to create visualizations that are user-friendly, intuitive, and tailored to the needs of the end user, ensuring that the visual elements effectively convey the intended message.
šDevelop and maintain interactive dashboards and reports using BI tools such as Power BI using visual elements like charts, graphs, maps, visual design principles.
Preferred Qualifications:
š3 or more years of work experience with a Bachelorās Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) šBachelorās degree in computer science, Engineering, or a related field. šProven experience as a BI Engineer / Visualization developer or similar role for 6+ years. šExpertise in LOD( Level of Detail), DAX(Data Analysis Expressions), Power Query, M language, Tableau Prep to create measures and transform data. šProficiency in data visualization tools such as Power BI. šAdvanced proficiency in SQL, including a deep understanding of queries, joins, stored procedures, triggers, and views, as well as experience in optimizing SQL for improved performance and efficiency. šComfortable with creating and maintaining database schemas, indexes, and writing complex SQL scripts for data analysis and extraction šExperience in interacting with data warehouses and data lakes, utilizing tools like pyspark, Apache Hadoop Amazon Redshift, snowflake and Amazon S3 to ingest and extract data for insights.
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