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WHY WE'RE LOOKING FOR YOU:

Retool has set out to radically rethink how this custom internal software is built. We’ve created a new type of development environment, combining visual, drag-and-drop manipulation with code-based customization. It seamlessly integrates with nearly any data source and enables instant deployment to end users. It’s a force multiplier for developers building internal tools, dramatically faster and easier than writing software from scratch.

Retool is a fast-growing company with quickly evolving business needs. We’re looking to hire an Analytics Engineer to help us build out our analytics and business intelligence systems to serve the needs of our business today and for a broader scale years from now. We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high-growth startup.

WHAT YOU'LL DO:

As an Analytics Engineer at Retool, you will build a foundation that strengthens Retool’s data culture at scale. You’ll initiate projects that solidify Retool’s data science reporting capabilities and help the company remain data-driven. Our data team is in its early stages, so you will have the opportunity to help define our data team structure and operating rhythm for the future. You’ll develop data sets to streamline operations, inform strategic priorities, and develop product insights. We’ll look to you to define key metrics and develop KPIs and data pipelines that empower stakeholders to make data-informed decisions. You’ll also take on ownership of our data stack to ensure that your teammates are able to access the data they need to make decisions and technical teams are able to quickly implement new events. We’ve already built out a solid stack on top of Segment, Spark/Databricks, dbt, and of course, Retool, but we need your help to ensure it scales with the company as our user base grows.

WHO YOU'LL WORK WITH:

As part of our data team you’ll work with stakeholders across the business, including finance, marketing, engineering, product, operations, and support. You’ll be joining a broader team of Retools who are passionate about serving our customers, enjoy collaborating to build an incredibly innovative product, and love swapping stories. If this sounds like you, we’d love to hear from you!

IN THIS ROLE, YOU'LL:

• Develop and define metrics that drive key business decisions
• Build and maintain scalable ETL pipelines
• Design our Analytics and Business Intelligence architecture, assessing and implementing new technologies where fitting
• Work with our engineering teams to ensure robust instrumentation across areas of the product
• Develop the systems, processes, and standards that Retool uses to organize its data as the company grows

THE SKILLSET YOU'LL BRING:

• Background in Analytics Engineering, Business Intelligence, Data Engineering, or Data Analytics.
• Ideally 3+ years of experience managing and building large complex data sets across a range of sources.
• Experience implementing and defining data best practices at scale.
• Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment.
• Intense attention to detail and passion for data quality.
• Experience developing and managing scalable data quality monitoring, alerting, and triage systems.
• Excellent business acumen with the ability to translate ambiguous stakeholder requirements into data models.
• Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, BigQuery, Redshift, Airflow, Snowflake).
• Experience optimizing large-scale datasets for performance in a big data environment.
• Skilled at data visualization, with strong opinions on the right way to distill information to various audiences.
• Comfortable with common git workflows and at least one scripting or statistical programming language (ideally Python and/or R).
• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a dynamic environment.
• A bias towards communication and collaboration with business and technical stakeholders.
• Quantitative rigor and systems thinking.
• Prior startup experience is preferred, but not required.

OUR U.S. BENEFITS:

• Generous medical, dental, and vision benefits
• 401(K) plan enrollment and matching up to an effective rate of 4%
• Paid company holidays and unlimited time off; take what you need!
• Annual continuing education stipend
• Paid parental leave and family planning support
• Wellness benefits include mental health, meditation support, OneMedical membership