Analytics Engineer

This range is provided by Quicken. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Annual Bonus

Quicken is the leading solution for personal finance management software and is committed to helping people lead healthy financial lives. For over 40 years, more than 20 million customers have relied on Quicken to help them take control of their finances.

We continue to focus on delighting customers and making Quicken products the most used, most loved, and most effective personal finance software. Our goal is to ensure that our customers can access and manage their financial lives, anywhere, anytime, and on any device.

This is an opportunity to work at a customer-driven company with a collaborative team that values technical excellence, innovation, and creativity while working together and having fun!

Come join the Quicken team!

Job Summary

We’re hiring 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

Ad-Hoc Analysis with Impact

• Partner directly with stakeholders across Product, Marketing, Finance, and Ops to answer pressing questions.
• Use advanced SQL and analytical thinking to turn ambiguity into answers fast.
• Develop quick prototypes (dashboards, reports, notebooks) that guide business decisions.

Operationalize & Automate Insights

• 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.

Accelerate Self-Service

• Curate datasets and build semantic layers that allow repeatable, self-serve exploration.
• Maintain documentation and usage examples that teach others how to use available data effectively.

Collaborate Across the Stack

• 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.

Take Ownership of Business Reporting

• Own and maintain existing business-critical reports across departments.
• Ensure reports are accurate, trusted, and evolve with changing business logic.
• Identify and retire unused or duplicative reports to streamline the analytics ecosystem.

Tools You’ll Use

• Scripting:
  Python for notebook-based analysis and Agent development
• dbt (light usage) to prototype transformations or clean-up logic

You Might Be a Great Fit If You:

• Are a fast, structured thinker who loves solving puzzles and surfacing insights.
• Love automating and scaling up repeatable work.
• Can write clear, performant SQL that answers questions and leaves a trail for others.
• Enjoy building bots or lightweight apps that make data easier to use.
• Thrive in fast-moving environments and know how to balance rigor with speed.
• Are as comfortable explaining a metric to a VP as you are editing a dbt model or writing a ChatGPT prompt.

Qualifications

• 2–5 years’ experience in data roles (e.g. analyst, BI engineer, analytics engineer)
• Experience with AI tools, copilots, or scripting for automation is a strong plus
• Fluency in SQL and experience with BI/reporting tools
• Strong grasp of business fundamentals and metrics-driven thinking
• Prior exposure to dbt or light transformation logic preferred

What We Offer:

• Competitive salary and performance bonus
• 401(k) with 5% employer match
• Exceptional health insurance benefits with minimal out of pocket expenses
• Fitness subsidy
• Free in-office lunches and snacks
• Autonomous work environment
• Amazing customer-driven culture
• Ability to build products that make a difference in people’s lives

Quicken is committed to fair and equitable compensation practices. The actual salary offered is determined by factors unique to each candidate, including but not limited to years and depth of experience, relevant skills, and work…