Analytics Engineer at Retool

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, SaaSIndustries

Requirements

Candidates should be motivated by having a business impact, be constantly curious, and thrive in the blurry space of data at a high-growth startup. Experience with Confluent, Databricks, dbt, Polytomic, and Retool is expected, along with the ability to build and maintain scalable ETL pipelines and design analytics and business intelligence architecture.

Responsibilities

The Analytics Engineer will build a foundation for Retool's data culture at scale, initiate projects to solidify analytical and reporting capabilities, and help the company remain data-driven. They will develop data sets to streamline operations, inform strategic priorities, and generate product insights. Responsibilities include defining key metrics, creating dashboards, and taking ownership of the data stack to ensure data accessibility for teammates and efficient event implementation for technical teams.

Skills

SQL

Data Analysis

Data Modeling

ETL

Data Visualization

Retool

Simplifies development of internal business tools

About Retool

Retool helps businesses create internal tools quickly and easily, targeting developers and IT teams. Users can build applications by connecting to various databases and APIs using a drag-and-drop interface, which reduces the need for extensive coding. The platform manages data fetching and user interface concerns, allowing developers to focus on customization. Retool operates on a subscription model and aims to streamline operations and improve productivity for businesses.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$160.6MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees