MS SQL Server BI

MS SQL Server BI

Posted 4 days ago by 1750755108

Negotiable
Outside
Remote
USA

Summary: The role focuses on MS SQL Server BI, requiring expertise in Power BI development and the Microsoft BI stack. The position is remote and is available only on a W2 basis. Candidates should have strong SQL development skills and experience in data manipulation and analysis.

Key Responsibilities:

  • Develop and deploy Power BI visualizations.
  • Manage and configure Microsoft Power BI Service.
  • Extract, manipulate, and analyze data using Dataflows, Datamarts, Dashboards, and Apps.
  • Write SQL queries and procedures for data curation.
  • Perform exploratory data analysis and data cleansing.

Key Skills:

  • Experience with Power BI development and deployment.
  • Proficiency in the Microsoft BI stack, including TSQL, Power Query, DAX, M, MDX, SSAS, SSRS, SSIS.
  • Strong SQL development skills.
  • Excellent written, verbal, and presentation skills.
  • AWS Cloud and/or Snowflake experience is a plus.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

JD below:

MS SQL Server BI

Remote , On W2 only

Requirements:

* Experience with Power BI development, visualizations, and deployment

* Experience with the Microsoft BI stack, including TSQL, Power BI, Power Query, DAX, M, MDX, SSAS, SSRS, SSIS , Sequel .

* Experience with configuration/management of Microsoft Power BI Service Experience extracting, manipulating, and analyzing data via Dataflows, Datamarts, Dashboards and Apps to recommend and/or take action.

* Demonstrated SQL development experience by writing queries and procedures and using functions to create curated data for reporting.

* Excellent written, verbal and presentation skills.

* AWS Cloud and/or Snowflake experience is a plus

  • MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX
  • Extract data from various data sources ; perform exploratory data analysis, cleanse, reshape, and aggregate data