Remote Insurance Data Analyst – Flexible, Long-Term Work

Wahve LLC.; Philadelphia (Philadelphia County); Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

401(k) with 4% match

Dental, Vision, Life & AD&D

Job summary

WAHVE LLC. seeks seasoned data analyst professionals to support insurance industry clients from home. Responsibilities include building data warehouses, crafting reports, and collaborating with user groups to define requirements.

The role emphasizes leveraging SSRS/Power BI and other BI tools in a remote, long-term capacity. Ideal candidates have extensive data analysis experience in insurance, are comfortable working independently or on a project team, and can train users as needed.

Qualifications

• Experience in data analysis and reporting in insurance or financial services.
• Proficiency with C#, Visual Studio, JavaScript, CSS, .NET/ASP/JSON/XML.
• Experience with SSRS, SSIS, Power BI, Dynamics CRM, SharePoint, Excel, Power Query/Power Pivot is a plus.
• Insurance or financial services industry experience required.
• 25 years of full-time work experience in data/insurance fields is required.

Responsibilities

• 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 data results and author commentary on industry studies.

Skills

C#

Visual Studio

JavaScript

CSS

Web technologies (.NET/ASP/JSON/XML)

Tools

SSRS

SSIS

Power BI

Dynamics CRM

SharePoint

Excel

Power Query

Power Pivot

Job description

WAHVE LLC. seeks seasoned data analyst professionals to support insurance industry clients from home. Responsibilities include building data warehouses, crafting reports, and collaborating with user groups to define requirements.

The role emphasizes leveraging SSRS/Power BI and other BI tools in a remote, long-term capacity. Ideal candidates have extensive data analysis experience in insurance, are comfortable working independently or on a project team, and can train users as needed.