Data Analyst II, Loan Servicing

This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time.

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 .