Data Analyst
Current• Collaborate with business users and stakeholders to understand data requirements and visualization needs.• Analyse complex healthcare data sets, including Claims, providers, members, and billing data.• Worked with different types of Data sources and performed extensive Data Analysis to identify latest business trends, patterns, and anomalies.• Perform data cleansing, transformation, and manipulation using Power Query and other ETL (Extract, Transform, Load) techniques.• Conduct end-to-end analysis of the data ingestion pipeline, encompassing CloudWatch Jobs, Lambda functions within the underlying Step Functions, Glue Jobs, DynamoDB configuration as well as JSON and control files.• Additionally, create the necessary SQL queries to establish metadata lineage for performing Root cause analysis.• Involved in Monitoring the performance of Power BI reporting solutions and identifying potential bottlenecks or issues and responsible for troubleshooting and resolving any technical problems related to data connections, refresh schedules, or visualization components.• Involved in Documenting data sources, data lineage data mapping, test cases, transformations, data models, and report specifications to ensure clarity and maintainability of the solution.• Provided training and support to end-users and stakeholders on how to use Power BI dashboards and reports effectively for data-driven decision-making.• Created different data visualizations using Lines, Pies, Histograms, Maps, Scatter, and Bullets using Power BI.• Created KPIs, Partitions, Perspectives, and Calculated Measures, using DAX queries.• Worked with Deployment pipeline, Row level security, Parameterization, and Workspace management.• Created Page Level Filters, Report Level Filters, and Visual Level Filters in Power BI according to the requirements.• Generated context and data source filters while handling a large volume of data.