POSITION DESCRIPTION

Position Title

Full Stack Analytics Engineer

Business Unit

Operations, Supply Chain and IT // Canyon US

Position Grade

P3 / 12

Direct Reports

0

Employment Type

Full-Time, Regular

FLSA Classification

Exempt

Location

Remote (US)

Travel %

10–15%

Pay Scale

$125,000 – $140,000 annually

Supervisor Title

Sr. Director, Operations, Supply Chain and IT

Functional Partners

Brand & Marketing, Commercial Excellence, IT & System w/

Supporting Finance, People, Operations, Supply Chain, Global BI as needed

About Canyon

Canyon is one of the world’s leading direct-to-consumer bicycle brands. We engineer our bikes in Koblenz, Germany and sell them straight to riders — no dealer in between. That model is exactly why this role matters: every decision we make about how we market, price, forecast, and serve customers runs on data we own end to end.

Canyon Bicycles USA is a lean team of around 80 people based in Carlsbad, California, supporting riders across the country. We have come through a turnaround and are building for growth. It is a genuinely good moment to join, and there is a lot of room to shape how this function works.

Position Summary

Canyon Bicycles USA is looking for a Full Stack Analytics Engineer — a builder who owns data problems end to end, from raw source through pipeline, model, and interface, all the way to the executive decision the work is meant to change.

This is deliberately a generalist role, sitting within Canyon USA’s Operations, Supply Chain and IT function and working across the U.S. systems portfolio. You will architect and build the systems that Canyon USA runs its commercial decision-making on: GA4 and marketing data pipelines, the internal analytics application our Marketing and Sales teams use daily, and the forecasting models that drive planning as the business shifts from turnaround into growth. You will do this largely alone at first, using AI-assisted development to move at a speed a traditional analytics team could not, and you will be responsible for making what you build durable enough for others to inherit.

We are not looking for a specialist in one layer of the stack. We are looking for someone who can sit with a marketing leader, work out what question actually matters, and then go build the whole thing — and who cares more about the business decision at the end than the elegance of the code in the middle.

Who We Are Looking For

Commercial Experience

A background embedded in growth marketing, e-commerce, or digital product teams. You should understand customer acquisition cost (CAC), lifetime value (LTV), contribution margin, media efficiency, and multi-touch attribution as working concepts, not as terms you would need to look up. You have been accountable to a commercial team, not adjacent to one.

Architecture Mindset

Strong business acumen paired with a software engineering or consulting background. You design systems, not scripts. You think about who maintains this in a year, where the data definitions live, and what breaks when the source changes. You care more about solving business problems than about writing code.

Modern Core Stack

The stack is anchored by Google BigQuery for cloud warehousing and Python for data pipelines and predictive modeling. It relies on deep AI fluency — using agentic tools such as Claude Code, Cursor, or Copilot to build, test, and ship end-to-end data systems at speed. Fluency here is a requirement of the role, not a bonus.

This Role Is Not

Summary of Role and Responsibilities

The responsibilities described below are the essential functions of this position.

Data Architecture and Pipelines