Senior Analytics Engineer

About Toucan

Toucan is a new, immersive way to learn a new language while browsing the internet. No classes, tests or cram sessions. Instead, each time a user visits a website, Toucan automatically translates certain words and phrases on the page into the language they're trying to learn. That way, they can learn words in their new language within the context of a language they're already comfortable with. This approach is scientifically proven to work just as well as traditional language learning exercises like flash cards. In fact, it’s often more effective!

Job Description

We’re looking for our first Senior Analytics Engineer to help take Team Toucan to the next level for all things Data. This person will report to the Director of Data and support integrating data into Toucan’s product experience, contributing to the technical direction for data architecture, and help shape and deliver valuable curated data sets through data modeling and data transformation at Toucan.

Core Responsibilities

Uphold our core values of Empathy, Wonder and Impact everyday
Be hands-on: You’ll be hands on in implementing changes based on the data roadmap as we think about process efficiency and scaling best practices
Own data warehouse: You’ll be responsible for the development, implementation, production support, and performance tuning of the underlying systems and reporting infrastructure for the data warehouse reporting environments including the design of table structures, and the optimization of ETL processes
Create with pragmatism: You’ll use your experience to determine what’s needed and what’s not. You’ll build with simplicity and avoid complexity where it’s not absolutely necessary
Build a data-focused culture: You’re passionate about working with the company to be data literate and will create a culture that inspires the whole company to have high data integrity
Manage critical data issues: You’ll be part of an on-call rotation to help in the event of a critical data issue
Foster Data Quality and Observability: You’re helping Toucan take the steps today to foster data quality and observability to make working with data in the future easier and more accurate

Qualifications

5+ years of experience in analytics engineering or business intelligence
3+ years of experience working with Snowflake or Redshift
2+ years of experience in ETL
1+ years of experience working with dbt
Experience building out a data lake/warehouse and an understanding of how to replicate the process in a startup environment
Familiarity with data modeling best practices (e.g. Star Schema, Kimball, Data Vault)
You possess immense empathy for people and think deeply about how you can improve their experience with Toucan
Excellent communication skills that allow you to work effectively with cross-functional stakeholders as well as your team
The ability to plan, project manage and move key cross-functional projects forward
You embody an ownership attitude towards your work that enables you to create systems that better our entire organization

Our Tech Stack

Data Pipeline: Segment, Kinesis, S3, dbt, Snowflake, Redshift, Metabase, Amplitude
Infrastructure: AWS

Work Requirements

Reliable ability to work remotely in a U.S. state, with no visa sponsorship requirements
Standard business hours Monday-Friday

We take into consideration an individual’s qualifications, experience and skill sets in determining the final salary offered. The salary range for this role is $110K - $160K. In addition to the base salary range, we offer stock options and comprehensive benefits (listed above).

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