Role Description 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. - 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. Qualifications - 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. - 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. Requirements - Educational or practical background in statistics or quantitative analysis (nice to have). - Python for analysis, automation, or data validation (nice to have). - Experience using AI-assisted tools to support analysis, code development, or problem-solving (nice to have). - A genuine interest in building deeper skills in experimentation design, automation, and analytical methodology (nice to have). Benefits And when it comes to hiring, we don't just look for the right person for the job, we seek out the right person for DriveTime. Buckle up for plenty of opportunities to grow in a professional, fun, and high-energy environment! Hiring is contingent upon successful completion of our background check and drug screen process. DriveTime is a drug-free, tobacco-free workplace and an Equal Opportunity Employer.