About the position
At Retool, we’re on a mission to bring good software to everyone. We’re building a new type of development platform that combines the benefits of traditional software development with a drag-and-drop UI editor and AI, making it dramatically faster to build internal tools. We believe that the future of software development lies in abstracting away the tedious and repetitive tasks developers waste time on, while creating reusable components that act as a force multiplier for future developers and projects. The result is not just productivity, but good software by default. Today, our customers span from small startups building their first operational tools to Fortune 500 companies building mission-critical apps for thousands of users across their business.
Responsibilities
- Initiate projects to generate strategic insights and help the company remain data-driven.
- Build data pipelines, dashboards, and reports to streamline operations.
- Inform strategic priorities and empower stakeholders to make data-informed decisions.
- Apply statistical knowledge and the scientific method to data questions.
- Work closely with engineering, design, and product teams to size opportunities and prioritize product features.
- Develop dashboards and define metrics that drive key product and business decisions.
- Build and maintain ETL pipelines.
- Validate existing data sources and identify opportunities to improve data quality.
Requirements
- 4+ years of experience working in data science and/or product analytics, ideally at a high-growth enterprise SaaS business.
- Experience defining and implementing product metrics.
- Expertise in leveraging data to deliver actionable insights for non-technical stakeholders.
- Skilled at data visualization, with strong opinions on the right way to distill information to various audiences.
- Strong SQL and data modeling skills, with experience applying skills to create data models thoughtfully in a warehouse environment.
- Proficiency in statistical analysis (e.g., descriptive statistics).
- A bias towards communication and collaboration with business and technical stakeholders.
- Experience bolstering quantitative analysis with qualitative insights.
- A solution-oriented growth mindset.
- Comfortable with common git workflows and at least one scripting or statistical programming language (ideally Python and/or R).
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k).
- Generous benefits to all employees.
- Hybrid work location.
