Collaborated with business analysts and stakeholders to gather requirements and understand data visualization needs. Developed and implemented Power BI solutions, including interactive dashboards and visualizations to provide actionable insights to business users. Conducted data analysis and modelling to ensure data accuracy, reliability, and performance optimization. Utilized DAX expressions to create calculated columns, measures and KPIs for effective data analysis and reporting. Designed and implemented data transformation process using Power BI query to clean, filter and shape data from various sources. Created data visualization that effectively conveyed complex data patterns, trends and relationships using a variety of PowerBI visualtizations and custom visuals. Worked with the data engineering team to ensure data extraction, transformation and loading processes from various data sources into Power BI. Provided training and support to ensure effective adoption and utilization of Power BI solutions. Actively participated in project meetings, status updates and agile development sprints to ensure timely and successful project delieveries. Conducted performance tuning and support to ensure effective adoption and uitlization of Power BI solutions.

Design, develop, and maintain BI reports and dashboards using Power BI, delivering clear insights. Work closely with business units to gather requirements and translate them into effective technical solutions. Automate data extraction and reporting workflows, significantly improving operational efficiency and freeing up time for more in-depth analysis. Analyze business trends and deliver data-driven recommendations to senior management, supporting strategic initiatives and uncovering opportunities for growth. Utilize SQL to pull and analyze large datasets, identifying patterns and trends that provide valuable insights into business performance. Create interactive Power BI dashboards that make KPIs accessible and visually compelling, helping teams understand key metrics at a glance. Clean and pre-process data from multiple sources to ensure accuracy and reliability in analysis and reporting. Develop advanced DAX queries and optimize data models to improve dashboard performance, creating fast, efficient reporting experiences for end-users. Partner with stakeholders to design custom dashboards tailored to their specific goals, ensuring each report aligns with business priorities and provides actionable insights. Enhance data security and accessibility by implementing row-level security (RLS) and other Power BI features, maintaining compliance and ensuring data integrity. Write complex SQL queries for efficient data extraction, manipulation, and reporting, helping streamline access to critical information. Diagnose and optimize SQL queries, fine-tuning database performance to improve query efficiency and reduce processing times. Develop stored procedures and functions to automate routine tasks and enhance data retrieval processes, making it easier for team members to access the information they needed. Regularly monitor data quality, conduct audits, and resolve any discrepancies to maintain a high level of accuracy across all reports. Communicate findings and insights in clear, digestible formats for both technical and non-technical stakeholders, ensuring everyone can leverage data for decision-making. Proactively identify areas for process improvement within reporting and analysis, implementing solutions that boost productivity and data accessibility across teams.