Data Analytics Internship

FMNE Insurance; Lincoln (NE); Presencial; USD 32 000 - 42 000; Tempo parcial

Resumo da oferta

FMNE Insurance is seeking a Data Analytics Intern to join our Actuarial Department for Summer 2027. The paid internship offers hands-on experience in data analytics, working with data to uncover insights and support pricing, reserving, and other actuarial functions.

The role collaborates with Data Scientists, Actuarial Analysts, and other stakeholders to ensure data quality, governance, and the delivery of dashboards and reports that empower data-informed decisions across the business.

Qualificações

• Pursuing a bachelor’s or master’s degree in MIS, CS, or other analytical fields.
• Knowledge of SQL Server, SSIS, SSRS, Power BI or equivalent.
• Familiar with Python and/or R.
• Strong ability and desire to use technology to solve complex problems.

Responsabilidades

• Assist in ETL/ELT data preparation for actuarial analyses.
• Create tables, views and procedures to support actuarial processes.
• Develop dashboards and reports for stakeholders to drive data-informed decisions.
• Ensure data governance and security standards are followed.

Conhecimentos

Python

R

Data analysis

Communication

Formação académica

Bachelor's or Master's in MIS/CS/analytical field

Ferramentas

SQL Server

SSIS

SSRS

Power BI

Descrição da oferta de emprego

FMNE Insurance is seeking an Data Analytics Intern to join our Actuarial Department. This is a paid internship for Summer 2027. This opportunity is perfect for a student who is eager to gain hands‑on experience in data analytics, enjoys uncovering insights from data, and has a strong interest in using technology to solve business problems.

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full‑time basis.

Role Overview of a Data Analytics Intern:

The Data Analytics Intern 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

• Demonstrates the Company’s mission, while successfully performing its core values related to integrity, service, excellence, stability, strength, respect, and teamwork.
• Assist in 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.
• Assist in the design, development and maintenance of dashboards, reports and visualizations that empower stakeholders to make data‑informed decisions and drive business outcomes.
• Understand and work with colleagues to ensure continued compliance with data governance standards and security policies.
• 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

• Currently pursuing a bachelor’s or master’s degree in MIS, Computer Science, or other analytical areas.
• Knowledge of SQL Server, SSIS, SSRS, Power BI or equivalent.
• Familiar with Python and/or R.
• 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.
• Aptitude for solving complex problems and overcoming challenges, demonstrating resilience and adaptability in finding solutions.
• Excellent oral and written communication skills, self-driven, and strong quantitative, analytical, and interpersonal skills.

FMNE Insurance Company recognizes that an individual with a disability may require accommodation to enable them to successfully perform a job function. Should you require such accommodation, please indicate the job function and suggested accommodation during the interview process. FMNE will attempt to make reasonable accommodations.