We are currently hiring a Power BI developer to work on a long term contract for 35 hours a week making $45 p/h. This job allows for a very flexible work schedule as long as you can work the 35 hours a week and attend a daily meeting. Please apply now if interested as we are actively conducting interviews. Job Description: Essential Duties: • Data Integration and ETL • Connecting to various data sources: Integrating data from databases, files, APIs, and other sources. • Transforming data: Cleaning, preparing, and restructuring data for analysis. • Loading data:?Importing data into Power BI for analysis and visualization. • Data Modeling and Analysis • Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations. • Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics. • Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns. • Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling). • Integrate machine learning models into Power BI dashboards. • Dashboard Development and Visualization • Designing dashboards: Creating visually appealing and interactive dashboards. • Creating visualizations: Using charts, graphs, and other visual elements to represent data. • Implementing interactivity: Adding filters, slicers, and drill-down capabilities. Troubleshooting and Maintenance • Identifying and resolving issues: Debugging dashboards and data models. • Updating and maintaining dashboards: Ensuring dashboards remain accurate and relevant. • Providing support: Assisting end-users with dashboard usage and troubleshooting. Collaboration and Communication • Work with stakeholders: Understand business needs and translate them into visualizations and collaborate with a product manager to align BI development with business objectives. • Collaborate with cross-functional IT staff: Work effectively with data engineers, data architects, and others to ensure data quality and integration. • Communicate findings: Presenting data insights and recommendations to stakeholders.