Data Integration Analyst

Nelnet Servicing•Lincoln, NE

1d•Hybrid

About The Position

Nelnet is seeking a data specialist with expertise in ETL processes and finance data to support its expanding financial initiatives. The role focuses on making data organized, reliable, and accessible for decision-making in reinsurance and broader financial strategies. The analyst develops and maintains data transformation and validation processes, builds data warehouse infrastructure, and creates analyses and dashboards for business stakeholders. The position collaborates closely with finance, accounting, business leadership, and technical teams. Nelnet is prioritizing candidates in Lincoln, Nebraska, or nearby who can work a hybrid schedule. Associates living within 30 miles of an office may work remotely part of the week and are expected to be in the office three days per week. Visa sponsorship is not available; candidates must already be authorized to work in the United States without current or future sponsorship.

Requirements

3–5 years of experience in ETL processes or a related field.
1–2 years of experience in data analysis and reporting.
Proficiency in extracting, transforming, and loading data from flat files, Excel, and other sources into data warehouses, ensuring accuracy and consistency.
Strong understanding of financial concepts and data structures.
Ability to design and structure data models for reporting and analysis, with optimized performance and scalability of data pipelines.
Experience building dashboards and reports with Power BI, Tableau, or similar platforms.
Skill in analyzing data to identify trends, patterns, and opportunities for improvement.
Advanced knowledge of SQL and Python for querying and automating data workflows.
Ability to identify data discrepancies or process inefficiencies and implement solutions to protect data integrity.
Strong interpersonal skills and ability to collaborate with business and technical teams.
Must already be authorized to work in the United States without current or future sponsorship.

Nice To Haves

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (preferred).

Responsibilities

Develop and maintain processes using Python and Snowflake to transform and validate data from various sources.
Become an expert in finance data structures and business needs.
Work with the business leadership team to define requirements.
Build, structure, and maintain a data warehouse to support reporting and analytics.
Design and build analyses and dashboards that provide strategic insights for key stakeholders.
Collaborate with finance and accounting teams to identify data needs and resolve data-related issues.
Provide support for SQL Server and Snowflake processes as needed.