نبذة عني
Business Data Analyst with experience in Power BI, SQL, ETL, data visualization, data analysis, and data pipelines. Experienced in developing reports and dashboards, data modeling, Power Query, DAX, Power Automate, Power…
Business Data Analyst with experience in Power BI, SQL, ETL, data visualization, data analysis, and data pipelines. Experienced in developing reports and dashboards, data modeling, Power Query, DAX, Power Automate, Power Apps, and Agile SDLC.
الخبرة
Business Data Analyst
● Developed Power BI reports and dashboards from multiple data sources (e.g., Azure SQL Data Warehouse, Excel, SharePoint, etc.) Data Blending.
● Utilized Power Query to clean, transform, and shape raw data from disparate sources into a consistent and usable format for analysis.
● Implemented data modeling techniques to create efficient data relationships, calculated columns, and custom calculated measures in Power BI using DAX language.
● Optimized Power BI data models for performance by creating relationships between tables, defining appropriate hierarchies, and establishing data categorization.
● Integrated Power BI reports into SharePoint and other web-based platforms, enabling easy access and sharing of insights with a broader audience.
● Implemented row-level security (RLS) in Power BI to restrict data access based on user roles and responsibilities, ensuring data confidentiality and compliance.
● Developed and implemented Power Automate workflows and Power Apps solutions to improve efficiency and productivity within the organization.
● Collaborated with cross-functional teams to define KPIs and developed automated Daily / Weekly / Monthly reports and visualizations, reducing manual reporting efforts by 100 hours per month.
● Utilized SQL, scripting and data extraction techniques to retrieve and transform data from various sources, ensuring data accuracy and consistency in BI reports.
● Experienced in SDLC using Agile methodology and actively contributed to sprint planning, daily
stand-ups, and retrospectives
Business Data Analyst (Power BI)
Developed Power BI reports and dashboards from multiple data sources including Azure SQL Data Warehouse, Excel, and SharePoint.
Utilized Power Query to clean, transform, and shape raw data from disparate sources into a consistent and usable format for analysis.
Implemented data modeling techniques to create efficient data relationships, calculated columns, and custom calculated measures in Power BI using DAX language.
Optimized Power BI data models for performance by creating relationships between tables, defining appropriate hierarchies, and establishing data categorization.
Integrated Power BI reports into SharePoint and other web-based platforms, enabling easy access and sharing of insights with a broader audience.
Implemented row-level security (RLS) in Power BI to restrict data access based on user roles and responsibilities, ensuring data confidentiality and compliance.
Developed and implemented Power Automate workflows and Power Apps solutions to improve efficiency and productivity within the organization.
Collaborated with cross-functional teams to define KPIs and developed automated Daily / Weekly / Monthly reports and visualizations, reducing manual reporting efforts by 100 hours per month.
Utilized SQL, scripting, and data extraction techniques to retrieve and transform data from various sources, ensuring data accuracy and consistency in BI reports.
Experienced in SDLC using Agile methodology and actively contributed to sprint planning, daily stand-ups, and retrospectives.
Data Analyst
Developed and maintained ETL processes to extract data from various sources, transform it into usable formats, and load it into the target databases.
Analyzed large datasets using SQL and Python to extract meaningful insights and identify patterns, trends, and anomalies, resulting in a 20% increase in efficiency for decision-making processes.
Supported data-driven decision-making by designing and maintaining data pipelines to ensure timely and accurate data availability for various departments.
Conducted detailed analysis, generated actionable insights and visualizations, and published reports based on company-wide data.
Collaborated with business users and stakeholders to gather data requirements and translated them into technical specifications for successful data-driven solutions.