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Business Intelligence Data Specialist

2 months ago

Chicago, United States ACL Digital Full time
Business Intelligence Data Specialist
Remote
Long Term

Job Summary:
The Business Intelligence Data Specialist will be responsible for the design, development and maintenance of various business intelligence and analytics solutions. These solutions will be essential in delivering enterprise-wide strategic, tactical, and operational analysis and reporting to both operational managers and corporate executives.
Responsibilities:
  • Translate business needs to technical specifications
  • Design, develop, test, and deploy SQL Server Reporting Services (SSRS) and Power BI reports and dashboards
  • to meet client needs
  • Troubleshoot data integrity issues within existing data warehouse
  • nalyze existing data sets in order to design and develop new data models
  • Design, develop, and maintain ETL processes to build new data models and ensure data is accurate and current
  • Collaborate with stakeholders to develop a strategic vision for their BI and analytic needs
  • Collaborate with IT to identify and implement data management and protection solutions and processes for the
  • business intelligence and analytics solutions
  • Provide end-user support
  • Create and maintain system documentation as changes are implemented
Qualifications:
  • Familiarity with Microsoft BI environment. (SQL Server, SSRS and/or Power BI)
  • Understanding of developing and distributing Microsoft Power BI reports
  • Strong understanding of data warehouse concepts, structures, and best practices
  • Comfortable analyzing existing source data systems to design and develop new data models
  • bility to work both collaboratively and individually
  • Strong T-SQL skillset
  • Experience with On-prem Power BI preferred
  • Experience with SQL Server Reporting Services (SSRS) preferred
  • Familiarity with Azure DevOps
  • Experience in financial and/or operational reporting preferred
  • Comfortable using ETL tools such as Azure Data Factory, Logic Apps, SSIS or Informatic
  • Comfortable using a variety of data sources (SQL, text, XML, CSV, MS Azure, Flow, Logic Apps)