Data Analyst II, Loan Servicing

In short, this Data Analyst II role is for a detail-oriented, curious problem solver who thrives on executing well-defined analytical work with precision. You’ll focus on turning clearly scoped business questions into accurate, trustworthy metrics and analyses that support monitoring, experimentation, and automation efforts. This is a hands-on, individual contributor role supporting our Loan Servicing team with strong SQL skills, thoughtful use of AI tools, and a willingness to ask “why” are key to success. 

In long, as the Data Analyst II, you will be responsible for: 

• Executing clearly scoped analytical work with a high degree of accuracy and rigor.  

• Translating defined problem statements into concrete analytical tasks using established internal patterns. 

• Applying prescribed analytical methods, such as hypothesis testing and comparative analysis, to answer business questions. 

• Using AI-assisted tools to support SQL development, think through analytical steps and edge cases, and validate logic and results before delivery.  

• Writing clean, readable SQL to produce requested KPIs and analytical outputs that others can easily review and maintain. 

• Partnering with senior analysts and stakeholders to clarify requirements and ensure alignment before execution begins. 

• Supporting experimentation and comparative analysis by accurately implementing defined test and control logic. 

• Contributing to scalable analytical solutions by following established pipelines, validation patterns, and documentation standards.  

• Raising questions when assumptions, inputs, or requirements are unclear and escalating risks early to prevent rework.  

So What Kind of Folks Are We Looking for? 

• Naturally curious thinkers who like to understand the “why” behind the numbers. 

• Detail-oriented professionals who take pride in accurate, high-quality work. 

• Clear communicators who are comfortable collaborating with senior analysts and business partners. 

• Thoughtful team players who ask good questions and surface risks early. 

• Individuals who are eager to grow their independence in problem framing and analytical design. 

The Specifics: 

• 2+ years experience executing analytical work against clearly defined problem statements. 

• A degree or equivalent practical experience in a quantitative or analytical field is preferred.  

• Working proficiency in SQL and Excel with a strong emphasis on correctness, clarity, and readability. 

• Data visualization tools 

• Familiarity with common analytical methods, including hypothesis testing and basic comparative analysis.  

• Strong attention to detail, quality control, and a willingness to seek clarification when things don’t line up.  

Nice to Have: 

• Educational or practical background in statistics or quantitative analysis. 

• Python for analysis, automation, or data validation. 

• Experience using AI-assisted tools to support analysis, code development, or problem-solving. 

• A genuine interest in building deeper skills in experimentation design, automation, and analytical methodology.