Data Analyst - Insurance - REMOTE

Accreditation Council for Graduate Medical Education; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company that values your extensive insurance experience while allowing you to work from home. This innovative firm is seeking seasoned professionals for Data Analyst positions, where you can leverage your skills in a dynamic virtual environment. Enjoy the freedom of customizing your schedule, eliminating office stress, and contributing to meaningful projects in the insurance industry. With a commitment to work/life balance and a supportive team, this role offers a unique opportunity to continue your career without the constraints of a traditional office setting.

Benefits

Health insurance

401(k) with 4% match

Flexible work schedule

Work from home

Dynamic virtual team environment

Qualifications

• 25 years of full-time work experience required.
• Experience in data analysis in insurance or financial services is mandatory.

Responsibilities

• Build and maintain data warehouses and create new reports.
• Support and train internal users as needed.

Skills

Data Analysis

C#

JavaScript

CSS

SQL Server Reporting Services (SSRS)

Power BI

Dynamics CRM

Dynamics GP

SharePoint

Excel

Job description

Put your Insurance Experience to work – FROM HOME!

At WAHVE, we value significant insurance experience and want to revolutionize the way people think about phasing into retirement by offering qualified candidates the opportunity to continue their careers working from home. As we say – retire from the office but not from work. Our unique platform provides you with real work/life balance and allows you to customize your own work schedule while continuing to utilize your insurance expertise in a remote, long-term position which includes company benefits!

WHAT YOU’LL LOVE ABOUT WAHVE

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff and clients. We are passionate about delivering the best customer service, preserving insurance industry knowledge, and making a difference through our work.

WHAT WE ARE SEEKING

We have assignments available to help our insurance industry clients in Data Analyst positions. Responsibilities include:

• Build and maintain data warehouses, create new reports, and develop 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.
• Experience in C#, Visual Studio, JavaScript, CSS, and current web technologies such as .NET, ASP, JSON, and XML.
• Experience with ANY of the following: SQL Server Reporting Services (SSRS), SSIS Reporting, Power BI, Dynamics CRM, Dynamics GP, SharePoint, Excel, Power Query, Power Pivot.
• Compiling data results and authoring commentary on industry studies is a plus.
• Insurance or financial services industry experience required. Current high demand for property CAT and AIR Catastrophe modeling skills.

TO BECOME A WORK-AT-HOME VINTAGE EXPERT, WE REQUIRE

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

BENEFITS OF BECOMING A WAHVE VINTAGE EXPERT

• Health insurance based on eligibility.
• 401(k) with a 4% match.
• Retire from the office but not from work.
• Eliminate office stress and the commute.
• Choose the work you would like to do now.
• Customize your schedule – full or part time.
• Utilize your years of insurance industry knowledge.
• Be part of our dynamic yet virtual team environment and connect with other experienced insurance professionals!

HOW TO GET STARTED

Click APPLY NOW to complete our simple preliminary profile. Be sure to include your preferred contact information, as one of our Qualification Specialists will connect with you promptly.

We look forward to meeting you!