Anh Dong

Business Intelligence @Tesla

TableauPowerBIPythonSQLUnited States✔️ ITData AnalystBI AnalystData Engineer

I approach each project with a humble mindset, always willing to learn and grow with my clients. I strive to understand their business needs and translate them into practical, effective technology solutions. I specialize in Sales, Financial, and Operational analysis, but I'm always open to exploring new areas of expertise. I have experience working with a range of database technologies, including Tabular, Cube, Graph, and Relational databases, and I'm familiar with software platforms like Power Apps (Canvas/Model Driven/Portal), Dataverse, Power BI, Visual Studio, SSAS, SSMS, Tableau, Alteryx, Shiny, and Flexdashboard. Programming languages are my bread and butter, and I work with SQL, Python, R, DAX, MDX, M, and Google AppScript (JavaScript) to bring your data to life. I'm passionate about finding the right technology solutions for my clients, no matter how big or small the project may be. I understand the importance of a strong foundation in business and technology, and I am always looking for ways to improve my skills and knowledge. My approach is to work collaboratively with my clients, listening to their needs and feedback, and using my expertise to help them achieve their goals.

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Work Background

TeslaSenior Business Intelligence Analyst

Sep. 2023Austin, Texas, United States · On-site

TeslaSr. Data Analyst - Finance

Mar. 2021 - Oct. 2023- Enterprise data catalog framework - Enterprise data assets model - Enterprise knowledge capturing process - Enterprise data catalog pipeline - Enterprise data gap analysis framework - Enterprise actuals and forecast tabular model - Enterprise data migration projects

TeslaData Analyst - Finance

Nov. 2020 - Mar. 2021- Customer info dashboard - Enterprise financial dimensions design - Data quality projects

EMPLOYERSBusiness Analytics Catalyst

Sep. 2019 - Nov. 2020Reno, Nevada Area- Agency facing dashboard - Enterprise data pipeline tuning and redesign - Feedback capability for Tableau with R Shiny