Data Analyst for Financial KPIs Dashboard in Power BI
Budget: $30 – $250 USD
I am seeking a skilled and Data Analyst to create comprehensive dashboards in Power BI for a financial project. The goal is to visualize and analyze key performance indicators (KPIs) that will help to make data-driven decisions and enhance financial performance tracking.
Project Requirements:
1. Data Analysis & Visualization:
o Analyze and structure financial data from various sources (Excel, SQL, etc.)
o Create dynamic and interactive dashboards in Power BI to visualize KPIs such as revenue, expenses, profit margins, cash flow, and more.
o Utilize data models, DAX, and Power Query to enhance the dashboards.
o Provide clear insights and recommendations based on the dashboard data.
2. Customization and User Interactivity:
o Develop filters, slicers, and other interactive features for end-users to customize their view of the data.
o Ensure dashboards are user-friendly and responsive across different devices.
3. DaSkills and Experience Required:
• Proven experience in data analysis and visualization using Power BI.
• Strong understanding of financial data, including KPIs like revenue, expenses, profit margins, and others.
• Expertise in DAX, Power Query, and building robust data models.
• Strong communication skills to understand requirements and provide recommendations.
Project Requirements:
1. Data Analysis & Visualization:
o Analyze and structure financial data from various sources (Excel, SQL, etc.)
o Create dynamic and interactive dashboards in Power BI to visualize KPIs such as revenue, expenses, profit margins, cash flow, and more.
o Utilize data models, DAX, and Power Query to enhance the dashboards.
o Provide clear insights and recommendations based on the dashboard data.
2. Customization and User Interactivity:
o Develop filters, slicers, and other interactive features for end-users to customize their view of the data.
o Ensure dashboards are user-friendly and responsive across different devices.
3. DaSkills and Experience Required:
• Proven experience in data analysis and visualization using Power BI.
• Strong understanding of financial data, including KPIs like revenue, expenses, profit margins, and others.
• Expertise in DAX, Power Query, and building robust data models.
• Strong communication skills to understand requirements and provide recommendations.