Power BI Developer Job in United State | Yulys
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Job Title: Power BI Developer

Company Name: The Midtown Group
Salary: $ 40.00
-
$ 45.00 Hourly
Job Industry: Marketing and Advertising
Job Type: Full time
WorkPlace Type: remote
Location: United State, United States
Required Candidates: 1 Candidates
Skills:
CSS
JavaScript
PHP
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.

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