Remote Insurance Data Analyst — Long-Term Flexible

Lehighbar; Northern (KY); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health insurance

401(k) with 4% match

Remote work from home

Job summary

WAHVE is seeking a remote Data Analyst with strong insurance industry experience to build and maintain data warehouses, create reports, and collaborate with user groups on requirements. The role offers full or part-time schedules and remote work from home with company benefits.

Ideal candidates will have hands-on experience with SSRS, SSIS, Power BI, Excel, and other Microsoft data tools, plus insurance or financial services background and at least 25 years of full-time experience in data roles.

Qualifications

• 25 years of full-time work experience.
• Experience in a data analysis role in the insurance or financial services industry – 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.
• Will 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.

Skills

SQL Server Reporting Services (SSRS)

SSIS Reporting

Power BI

Dynamics CRM

Dynamics GP

SharePoint

Excel

Power Query

Power Pivot

C#

Visual Studio

JavaScript

CSS

.NET

ASP

JSON

XML

Tools

SQL Server Reporting Services (SSRS)

SSIS Reporting

Power BI

Dynamics CRM

Dynamics GP

SharePoint

Excel

Power Query

Power Pivot

C#

Visual Studio

JavaScript

CSS

.NET

ASP

JSON

XML

Job description

WAHVE is seeking a remote Data Analyst with strong insurance industry experience to build and maintain data warehouses, create reports, and collaborate with user groups on requirements. The role offers full or part-time schedules and remote work from home with company benefits.

Ideal candidates will have hands-on experience with SSRS, SSIS, Power BI, Excel, and other Microsoft data tools, plus insurance or financial services background and at least 25 years of full-time experience in data roles.