- Developed and maintained Tableau dashboards with interactive visualizations.
- Created custom views, charts, graphs, filters, parameters, and data sources to meet specific user requirements.
- Developed complex calculations using Tableau functions such as LOD expressions and table calculations.
- Implemented best practices for optimizing the performance of Tableau reports and dashboards.
- Collaborated with stakeholders to understand business requirements and develop appropriate visualizations.
- Assisted in designing and developing ETL processes to extract data from multiple sources into a single repository for analysis in Tableau.
- Researched new ways to visualize data in Tableau for enhanced presentation of results.
- Deployed Tableau Server security settings including authentication methods, permissions, row-level security settings.
- Analyzed data sources from Excel, SQL Server for Design, Development, Testing, and Production rollover of reporting and analysis projects within Tableau Desktop.
- Utilized scripting languages such as Python, R, SQL within dashboard development process.
- Developed data models and ETL processes to extract, transform, and load data from various sources into the BI platform.
- Created reports, scorecards, and KPIs in Microsoft PowerBI to measure business performance metrics.
- Optimized existing SQL queries for better performance when running against large datasets.
- Developed and maintained ETL processes using Informatica Intelligent Cloud Services (IICS) to extract, transform, and load data from various sources like Salesforce, SQL Server, and Teradata into the data warehouse.
- Worked closely with the Risk Management and Finance Team regarding Requirements Gathering, and provided the layouts of the dashboards to reconfirm.
- Tested, cleaned, and standardized data to meet the business standards using Execute SQL task, Conditional Split, Data Conversion, and Derived column in different environments.
- Built and maintained SQL scripts, indexes, and complex queries for data analysis and extraction.
- Collaborated with stakeholders to identify key performance indicators for reporting purposes.
- Integrated new systems with legacy applications using APIs or web services as needed.
- Maintained documentation on all aspects of the BI environment including data models, ETL processes.
- Built OLAP cubes using SSAS for advanced analytics capabilities.
Environment: Tableau Desktop/Server, MS SQL Server, Informatica Cloud (IICS), Qlik Sense Enterprise, SharePoint, SFDC, Microsoft Office (MS Word, MS Excel, MS PowerPoint, MS Outlook), Agile, Scrum, JIRA, SQL Server Management Studio.