1. Data Integration and Preparation:

• Data Collection: Gather data from various sources such as databases, cloud services, APIs, and spreadsheets.
• Data Cleaning: Clean and transform raw data to ensure accuracy and consistency.
• Data Modeling: Create data models to structure and relate data effectively for reporting.

2. Report and Dashboard Development:

• Report Creation: Design and develop visually appealing and interactive reports.
• Dashboard Design: Build comprehensive dashboards that provide insightful data visualizations.
• Customization: Customize visuals and reports to meet specific business requirements.

3. DAX (Data Analysis Expressions) Development:

• DAX Formulas: Write and optimize DAX formulas for complex calculations and aggregations.
• Measures and Columns: Create calculated measures and columns to enhance data analysis.

4. Performance Optimization:

• Query Optimization: Optimize data queries to improve report performance.
• Data Model Tuning: Ensure data models are efficient and scalable.
• Performance Monitoring: Monitor and address performance issues in reports and dashboards.

5. Security and Access Management:

• Row-Level Security: Implement row-level security to control data access based on user roles.
• Access Control: Manage user access and permissions for Power BI workspaces and reports.

6. Collaboration and Communication:

• Stakeholder Interaction: Work closely with business stakeholders to understand requirements and deliver solutions.
• Training and Support: Provide training and support to end-users on using Power BI reports and dashboards.
• Documentation: Document data models, DAX formulas, and report designs for future reference.

7. Continuous Improvement:

• Best Practices: Stay updated with Power BI best practices and industry trends.
• Feedback Implementation: Incorporate user feedback to improve reports and dashboards.
• Tool Enhancements: Explore and implement new Power BI features and functionalities to enhance reporting capabilities.

Qualifications and Skills:

• Educational Background: Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Technical Proficiency: Strong knowledge of Power BI, including Power Query, Power Pivot, and DAX.
• Data Skills: Proficiency in SQL, data modeling, and data transformation.
• Analytical Skills: Excellent analytical and problem-solving skills.
• Communication Skills: Strong written and verbal communication skills.
• Experience: Previous experience in data analytics, business intelligence, or a related field is preferred.

Tools and Technologies:

• Power BI Desktop and Service: Proficient use of Power BI Desktop for report creation and Power BI Service for publishing and sharing reports.
• Database Systems: Familiarity with database systems such as SQL Server, Oracle, or MySQL.
• ETL Tools: Knowledge of ETL (Extract, Transform, Load) tools and processes.
• Advanced Excel: Advanced Excel skills for data analysis and transformation.