Data Analyst I - Consumer Loan Analytics

Lincoln, NE

Full-time

Hybrid

$60K/yr - $70K/yr

Entry Level

Nelnet is a diversified and innovative company committed to enriching lives through the power of service. As a Data Analyst, you will work with a team to analyze complex datasets and create reports and dashboards that inform decision-making across the company.

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Responsibilities

Query, clean, and analyze complex datasets using SQL, Python, or similar tools
Identify trends, correlations, and insights to support decision-making
Assemble forecasts to drive recommended actions within the business
Build clear reports and dashboards in tools like Excel and Power BI
Package insights in a clear, compelling narrative for business partners
Monitor data quality and recommend process improvements
Seek opportunities to automate repetitive tasks
Partner closely with business leaders to anticipate and address their data needs

Qualification

Required

Query, clean, and analyze complex datasets using SQL, Python, or similar tools
Identify trends, correlations, and insights to support decision-making
Assemble forecasts to drive recommended actions within the business
Build clear reports and dashboards in tools like Excel and Power BI
Package insights in a clear, compelling narrative for business partners
Monitor data quality and recommend process improvements
Seek opportunities to automate repetitive tasks
Partner closely with business leaders to anticipate and address their data needs
Is detail-oriented, motivated, and curious about data analytics
Has foundational experience with data (coursework, projects, or work experience) and working knowledge of SQL and/or Python
Is comfortable with Excel and reporting tools, with a desire to expand into tools like Power BI
Communicates clearly with both technical and non-technical users, translating data into meaningful stories and solutions
Thrives in a collaborative, customer-focused environment
Enjoys problem solving, approaching challenges with creativity and persistence
Manages multiple priorities while contributing to a culture of learning and improvement
4-year college degree preferred or equivalent experience needed
Prior exposure to data analytics through coursework, projects, internships, or ~1 year of professional experience
Examples of reporting, dashboarding, or data analysis work are a plus
Ability to extract, manipulate, and query data in database systems (T-SQL, SnowSQL, or similar)
Familiarity with reporting and dashboarding tools (e.g., Power BI, DAX)
Exposure to scripting languages such as Python for data manipulation or process automation
Understanding of data cleansing, mapping, and transformation concepts (ETL)
Strong critical thinking skills and the ability to break down complex problems into manageable parts
Enjoys puzzle-solving and approaching challenges with curiosity and persistence
Ability to conceptualize business processes and identify data-driven opportunities for improvement
Clear oral and written communication skills, including the ability to explain technical concepts to non-technical audiences
Strong interpersonal skills; able to collaborate effectively across teams
Customer-focused mindset with a desire to create practical, high-value solutions
Ability to balance multiple priorities and consistently meet deadlines