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Job ID : 35028

Location : New York, NY

Company Name : VISART

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $106200 - $107700  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Data analytics, Importing data, Manipulating data..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Develop and maintain Power BI reports, dashboards, and interactive visualizations.
  • Gather data requirements and work closely with stakeholders to understand their information needs and translate them into technical specifications.
  • Identify and analyze data sources to ensure data integrity and accurate reporting.
  • Design and implement data models and transformations using Power BI Desktop and Power Query.
  • Collaborate with business users, data engineers, and data scientists to identify and resolve data issues and improve data quality.
  • Monitor and optimize Power BI performance and queries for enhanced user experience.
  • Stay updated with the latest Power BI features, industry trends, and best practices.
  • Conduct training sessions and provide support to end-users on Power BI usage and self-service analytics.

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Proven experience as a Power BI Developer or similar role.
  • Strong proficiency in Microsoft Power BI, including Power Query, DAX, and Power BI Desktop.
  • Advanced knowledge of data visualization principles and best practices.
  • Familiarity with data modeling and ETL processes.
  • Experience in creating complex data visualizations, reports, and dashboards that deliver actionable insights.
  • Proficient in SQL and data analysis techniques.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment.

Key Skills:

  • Data analytics.
  • Importing data.
  • Manipulating data.
  • Data modeling in the query editor.
  • Table relationships and Data Analysis Expressions.
  • Building data visualizations and reports.

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