Remote Insurance Data Analyst — Flexible, Long-Term

Wahve LLC.

Chandler (AZ)

Remote

USD 52.000 - 90.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health insurance
401(k) with 4% match
Dental, Vision, Life, AD&D insurance
Work-from-home

Zusammenfassung

WAHVE is seeking experienced Data Analysts to support insurance industry clients from a remote, home-based setup. Roles emphasize leveraging data analysis skills, reporting, and business intelligence to deliver meaningful insights and maintain data integrity.

Ideal candidates have strong experience with data warehousing, SSRS/Power BI, and a proven ability to work with cross-functional teams on projects while providing training to users. Flexible full- or part-time schedules are available.

Qualifikationen

  • Experience in data analysis within the insurance or financial services industry required.
  • 25 years of full-time work experience required.
  • Experience building data warehouses, reports, and analytics for business users.

Aufgaben

  • Build and maintain data warehouse, new reports, and ad hoc reports.
  • Work with user groups to identify reporting issues/enhancements and document business requirements.
  • Serve as a member of a project team and/or work independently on projects.
  • Support and train internal users as needed.
  • Compile and prepare data for customer analysis.

Kenntnisse

Data analysis
Insurance industry knowledge

Tools

C#
Visual Studio
JavaScript
CSS
NET/.NET
ASP
JSON
XML
Power BI
SharePoint
Excel
Power Query
Power Pivot

Jobbeschreibung

WAHVE is seeking experienced Data Analysts to support insurance industry clients from a remote, home-based setup. Roles emphasize leveraging data analysis skills, reporting, and business intelligence to deliver meaningful insights and maintain data integrity.

Ideal candidates have strong experience with data warehousing, SSRS/Power BI, and a proven ability to work with cross-functional teams on projects while providing training to users. Flexible full- or part-time schedules are available.

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