We're collaborating with a leading automotive retailer and finance company, renowned for its innovative approach to used car sales and customer financing solutions. This organization is at the forefront of leveraging data to drive strategic business decisions and enhance operational efficiency.
The Data Analyst II role is designed for a detail-oriented, curious problem solver who excels at 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 the Loan Servicing team, where strong SQL skills, thoughtful use of AI tools, and a willingness to ask 'why' are key to success.
The Role
- Execute clearly scoped analytical work with a high degree of accuracy and rigor.
- Translate defined problem statements into concrete analytical tasks using established internal patterns.
- Apply prescribed analytical methods, such as hypothesis testing and comparative analysis, to answer business questions.
- Utilize AI-assisted tools to support SQL development, think through analytical steps and edge cases, and validate logic and results before delivery.
- Write clean, readable SQL to produce requested KPIs and analytical outputs that others can easily review and maintain.
- Partner with senior analysts and stakeholders to clarify requirements and ensure alignment before execution begins.
- Support experimentation and comparative analysis by accurately implementing defined test and control logic.
- Contribute to scalable analytical solutions by following established pipelines, validation patterns, and documentation standards.
- Raise questions when assumptions, inputs, or requirements are unclear and escalate risks early to prevent rework.
What You'll Need
- 2+ years of experience executing analytical work against clearly defined problem statements.
- 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.
- Experience with data visualization tools.
- A degree or equivalent practical experience in a quantitative or analytical field is preferred.
What's On Offer
- Opportunity to work on critical business initiatives within loan servicing.
- A collaborative environment focused on data-driven decision-making.
- Exposure to advanced analytical methods and AI-assisted tools.
- Chance to grow your independence in problem framing and analytical design.
Apply via Haystack today!
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