FMNE Insurance is seeking a Data Analytics Developer in our Actuarial Department. We're looking for a highly analytical and solutions-oriented data professional who is passionate about transforming complex data into meaningful insights that support actuarial and business decision-making. The ideal candidate is collaborative, technically strong, and detail-focused, with the ability to manage multiple priorities, build trusted relationships across teams, and develop efficient, reliable data solutions. Join a stable, values-driven company with deep Midwest roots and a strong team-focused culture.

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis. Please submit a resume and cover letter for consideration.

We offer a competitive salary and a comprehensive benefits package, including health coverage, a generous 401(k), pension plan, wellness programs and a hybrid work model for eligible employees.

Role Overview of a Data Analytics Developer

The Data Analytics Developer is a critical member of the Actuarial team and is responsible for, but not limited to, the preparation, transformation, and integration of data for accurate and effective actuarial analyses. This role collaborates closely with Data Scientists, Actuarial Analysts, and other stakeholders to ensure data quality, reliability, and performance of solutions.

Responsibilities of a Data Analytics Developer

• Demonstrates the Company's mission, while successfully performing its core values related to integrity, service, excellence, stability, strength, respect, and teamwork.
• Responsible for extracting, transforming, and loading (ETL/ELT) data to support actuarial analysis.
• Perform data cleansing, transformation, and validation processes for data integrity and accuracy.
• Create tables, views and stored procedures to support Actuarial processes.
• Collaborate with the actuarial team to understand data requirements and provide accurate, timely data for pricing, reserving, and other actuarial functions.
• Design, develop and maintain dashboards, reports and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes.
• Work in conjunction with the IT department to maintain up-to-date and optimized actuarial infrastructure.
• Understand and work with colleagues to ensure continued compliance with data governance standards and security policies.
• Maintain ETL processes, reports and dashboards.
• Work closely with other departments to understand business needs.
• Build and maintain trust with key stakeholders.
• Regular and timely attendance in the office is an essential function of the position.

Skills and Qualifications of a Data Analytics Developer

• Bachelor's degree in MIS, Computer Science, or other analytical areas.
• Minimum of three years of experience working with data.
• Must possess strong SQL skills.
• Knowledge of SQL Server, SSIS, SSRS, Power BI or equivalent.
• Experience with Python and/or R.
• Familiar with Azure data services including Azure Data Factory (ADF).
• Strong ability and desire to use technology to solve complex problems.
• Knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
• Knowledge of insurance industry preferred.
• Aptitude for solving complex problems and overcoming challenges, demonstrating resilience and adaptability in finding solutions.
• Demonstrated success in addressing business needs with analytics.
• Ability to manage multiple tasks at the same time in a dynamic environment.
• Excellent oral and written communication skills, self-driven, and strong quantitative, analytical, and interpersonal skills.

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