What are the responsibilities and job description for the Data Engineer position at Quicken?
Data Analytics Engineer
Job Summary:
We’re seeking an Analytics Engineer, a data-powered problem solver who bridges the gap between business needs and analytical systems. You’ll be the first line of insight generation: rapidly answering business questions, prototyping tools, and enabling stakeholders through AI-assisted self-service and scalable solutions. This role is ideal for someone who thrives on quick iterations, sharp analysis, and automating away repetitive work.
- Responsibilities:Use advanced SQL and analytical thinking to turn ambiguity into answers.
- Develop quick prototypes (dashboards, reports, notebooks) that guide business decisions.
- Build lightweight, scalable solutions like recurring dashboards, alerts, and data monitors.
- Create and manage AI copilots or agents to enable business users to self-serve insights via natural language.
- Maintain documentation and usage examples that teach others how to use available data effectively.
- Work with data engineers to identify gaps in raw data or modeling.
- Influence data architecture and metric definitions by bringing real user needs to the table.
- Own and maintain existing business-critical reports across departments, and partner directly with stakeholders across Product, Marketing, Finance, and Operations.
- Qualifications:2 years of experience in data roles (e.g. analyst, BI engineer, analytics engineer)
- Fluency in SQL and experience with BI/reporting tools
- Experience with Python for notebook-based analysis and Agent development
- Strong grasp of business fundamentals and metrics-driven thinking
- Experience with AI tools, copilots, or scripting for automation is a strong plus
- Prior exposure to dbt or light transformation logic preferred
Location: Menlo Park, CA (hybrid)
Type: Full Time
Salary Range: $135-145K (DOE) bonus
Salary : $135,000 - $145,000
