Hybrid Data Analyst - Power BI, SQL & Dashboards

Commonwealth of VA Careers

Richmond (VA)

Hybrid

USD 95,000 - 101,000

Full time

3 days ago
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Job summary

The Virginia Retirement System is seeking a Data Analyst to perform complex data analysis and reporting, improve data reporting capabilities, and develop data quality assurance processes. The ideal candidate has expertise in business data analysis, excels at communicating technical information to non-technical audiences, and can leverage SQL, Power BI, and Tableau.

The role involves collaborating with business and technology teams to define, collect, analyze, and report data, and presenting

Qualifications

  • Bachelor’s degree in a related field; 3–5 years of data analysis, data science, and/or data warehousing experience
  • Advanced knowledge of SQL
  • Knowledge of DAX, Power BI, and/or other similar systems
  • Excellent communication skills including written, verbal and presentation

Responsibilities

  • Collaborate with data owners to ensure data-related objectives are understood and documented
  • Gather, evaluate and document business and technical data requirements for new systems, enhancements and defects
  • Create customizable reports and visualizations using SQL, Power BI or Tableau
  • Design data-driven analyses to improve customer experience and agency objectives
  • Present data-driven recommendations and findings with documentation and reports

Skills

Communication skills
Presentation skills
SQL
Power BI
Tableau
DAX

Education

Bachelor’s degree in CS, information management, data science, statistics or related field

Tools

SQL
Power BI
Tableau
DAX

Job description

The Virginia Retirement System is seeking a Data Analyst to perform complex data analysis and reporting, improve data reporting capabilities, and develop data quality assurance processes. The ideal candidate has expertise in business data analysis, excels at communicating technical information to non-technical audiences, and can leverage SQL, Power BI, and Tableau.

The role involves collaborating with business and technology teams to define, collect, analyze, and report data, and presenting

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