Senior Analytics Engineer

What will you do?

As a Senior Analytics Engineer at Rebtel, you are the person who makes data trustworthy and usable at scale. You sit at the heart of our data platform, sitting between the pipelines that bring data in and the teams who rely on it to make decisions every day. Your job isn't to do the reporting; it's to make great analytics possible for everyone else.

This is a hands-on engineering role with real ownership. You'll take charge of our transformation layer in dbt, own the semantic layer in Looker, and make sure that data across the organization is well-modeled, tested, documented, and trusted. You'll work closely with our Data Engineer on platform quality and standards, and partner with stakeholders across product, growth, finance, and operations to turn their data needs into solid, self-service data products.

If you care deeply about data quality and believe that good engineering is what makes analytics possible; if you get satisfaction from turning raw, messy data into something clean and reliable; if you want to be the person the rest of the company depends on when they need to understand a metric or find the right dataset, we'd love to talk.

Areas of ownership:

Design, build, and maintain data transformations in dbt, including facts, dimensions, and data marts, that power self-service analytics across the company

Own Rebtel's semantic layer: write and maintain LookML, manage Looker platform administration, and make sure the self-service experience is accurate, discoverable, and scalable

Enforce data quality through rigorous testing, validation, and monitoring throughout the transformation layer

Drive data documentation and literacy, making data easy to discover, understand, and use for both technical and non-technical audiences, including AI agents

Optimize query performance and improve efficiency across our Snowflake data platform

Partner with the Data Engineer on modeling standards, platform reliability, and end-to-end pipeline quality