Senior Business Data Analyst
Current• Utilized Microsoft Azure and ETL techniques for data migration, enhancing data governance and strategies.• Conducted data modeling and analysis, delivering insights and recommendations.• Enhanced data analytics capabilities to gain customer insights, optimize efficiency, and drive decisions.• Created business and functional requirement documents through discussions with users and SMEs.• Developed complex DAX calculations for advanced data analysis and visualization.•… Show more • Utilized Microsoft Azure and ETL techniques for data migration, enhancing data governance and strategies.• Conducted data modeling and analysis, delivering insights and recommendations.• Enhanced data analytics capabilities to gain customer insights, optimize efficiency, and drive decisions.• Created business and functional requirement documents through discussions with users and SMEs.• Developed complex DAX calculations for advanced data analysis and visualization.• Managed project backlogs and tracked tasks using JIRA.• Designed and implemented Power BI dashboards and reports with SQL Server & Tabular SSAS.• Gained hands-on experience with Azure Data Factory, Databricks for data processing.• Utilized Apache Spark for data ingestion and analysis.• Employed various visualization tools including table, card, gauge, slicers, and custom visualizations.• Designed and documented data models using ERwin.• Reviewed and provided feedback on ETL packages and SSRS reports.• Created detailed data discovery documents and source-to-target mappings.• Drafted user stories and created data flow diagrams and flowcharts using MS Visio.• Executed complex SQL queries for data analysis.• Facilitated workshops to identify business rules and requirements.• Utilized Presto, Hive, and Jupyter notebooks for data querying.• Employed normalization and de-normalization techniques for database performance.• Collaborated with the Enterprise Data Warehouse and BI architecture teams.• Conducted detailed data, quality analysis, and profiling on source data.• Maintained technical documentation for ETL processes.• Conducted data profiling and validation using HQL and Spark-SQL.• Prepared and shared project status reports, highlighting progress, milestones, risks.Environment: SQL, Hadoop 3.1, Spark-SQL, MS Project, MS Office, SharePoint, DAX, Hive, Databricks, Visio, MS Outlook, Azure, PowerBI, Agile, Git, Jenkins, JIRA, Data Governance, Documentation. Show less