Data Integration Analyst

Nelnet•Lincoln, NE

1d•$70,000 - $80,000•Hybrid

About The Position

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities. The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work. We are seeking a Data Specialist with strong expertise in data extraction, transformation, and loading (ETL) processes, along with a solid understanding of finance data. The ideal candidate will develop robust dashboards and conduct detailed analyses that drive business insights, supporting Nelnet’s expanding financial initiatives. Your contributions will ensure data is well-organized, reliable, and accessible for key decision-making in reinsurance and broader financial strategies.

Requirements

ETL Expertise: Proficient in extracting, transforming, and loading data from flat files, Excel, and other sources into data warehouses, ensuring accuracy and consistency in data handling.
Finance Knowledge: Strong understanding of financial concepts and data structures, enabling efficient data processing and insightful analysis specific to industry needs.
Data Modeling: Ability to design and structure data models for reporting and analysis, ensuring optimized performance and scalability of data pipelines.
Dashboard & Reporting Tools: Experienced in building dynamic dashboards and reports using tools like Power BI, Tableau, or similar platforms, translating complex datasets into actionable insights.
Data Analysis: Skilled in performing in-depth data analysis to identify trends, patterns, and opportunities for improvement, contributing to strategic decision-making.
SQL & Python Proficiency: Advanced knowledge of SQL for querying, and Python for automating data workflows, enhancing efficiency in data management and reporting.
Problem Solving: Adept at identifying data discrepancies or inefficiencies in processes and implementing solutions to ensure data integrity and seamless operations.
Collaboration: Strong interpersonal skills, with the ability to work cross-functionally with business and technical teams to understand data needs and deliver results.
3-5 years of experience in ETL processes or related field.
1-2 years of experience in Data Analysis and reporting.

Responsibilities

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