• Preparing reports for the management stating trends, patterns, and predictions using relevant data.• Using automated tools to extract data from multiple sources.• Performing analysis to assess quality and performance indicators.• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

Key Responsibilities:• Developed and presented weekly and monthly Progress reports of enrolled students.• Performed Data Cleansing and Data Manipulation for Clients associated with the institution.• Managed master data including creation, updates, and deletion.

Responsibilities:• Managing master data including creation, updates, and deletion• Managing users and user roles• Providing quality assurance of imported data, working with quality assurance analysts if necessary• Commissioning and decommissioning of data sets• Processing confidential data and information according to guidelines• Helping develop reports and analysis• Managing and designing the reporting environment, including data sources, security, and metadata• Supporting the data warehouse in identifying and revising reporting requirements• Supporting initiatives for data integrity and normalization• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems• Generating reports from single or multiple systems• Troubleshooting the reporting database environment and reports• Evaluating changes and updates to source production systems• Training end-users on new reports and dashboards• Providing technical expertise in data storage structures, data mining, and data cleansing

• Developed and maintained weekly Power BI reports for various business units.• Utilized Power BI and Excel to extract, transform, and load data for analysis• Collaborated with cross-functional teams to understand data needs and deliver insights• Conducted data analysis to identify trends and patterns in the data• Created interactive dashboards and visualizations to communicate findings to manager and team leader.• Participated in project presentations to showcase the results of data analysis efforts.• Improved data management processes by implementing quality checks and developing documentation standards.