Full Stack Analytics Engineer

Job Description

Job Description

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

• A dashboard-building or report-writing role. You will build dashboards, but only as the last mile of systems you designed and engineered yourself.
• A pure data engineering role. Pipelines are roughly a third of the job. If you have never had to defend a number to a VP, this is not the right fit.
• A data science research role. We are not hiring for novel modeling. We are hiring for practical forecasting that a commercial team will act on.
• A first role in analytics engineering. This position assumes you have already built and shipped production systems across both the data and application layers.

Summary of Role and Responsibilities

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

Data Architecture and Pipelines

• Own the GA4 and marketing data pipeline: Build and maintain Python and SQL extraction processes pulling aggregated data via the GA4 Data API into BigQuery, and maintain metric parity with native GA4 reporting, validated with global technical partners.
• Integrate commercial data sources: Combine web analytics, marketing spend, SAP and SAC reporting outputs, e-commerce transaction data, and external APIs into a coherent, documented model of the U.S. business.
• Own data definitions: Establish and defend the definitions behind core commercial metrics — CAC, LTV, contribution margin, attribution — in partnership with Global BI, so the organization argues about decisions rather than about numbers.

Application and Interface Development

• Build and extend the internal analytics application: Develop features across the Overview and Economics areas of Canyon USA’s marketing data platform, including marketing touchpoint integration at the product family level, spend ingestion, and traffic fallout adjustment.
• Deliver the last mile: Build clean, answer-first interfaces using front-end fundamentals (HTML/CSS) so that complex logic surfaces as a conclusion a business leader can act on.

Forecasting and Modeling

• Build rolling forecasts: Develop and maintain rolling revenue and traffic forecasts driven by digital spend, site activity, and early demand signals, and improve their accuracy over time.
• Support planning cycles: Provide the modeling and scenario inputs that Finance, Marketing, and Commercial Excellence use for planning as the business scales.

Delivery Practice and Handoff

• Work AI-first: Use agentic development workflows to compress delivery timelines, with the judgment to structure prompts well, test outputs rigorously, and catch the failure modes these tools introduce.
• Document and de-risk: Maintain repository documentation, product architecture, data lineage, and a forward roadmap so the platform is inheritable and does not depend on any one person.
• Build the function: Establish the standards, tooling, and practices that a future U.S. analytics team will be built on, and mentor or onboard additional analytics staff as the function grows.
• Partner across the systems portfolio: Coordinate with the U.S. IT and systems team on integration points, source system changes, security and access requirements, and delivery sequencing, so analytics work lands cleanly alongside the wider project portfolio.

Stakeholder Partnership

• Translate for executives: Present predictive and modeling work to non-technical leaders in a way that leads to action rather than to a discussion of methodology.
• Manage a transparent queue: Scope, size, and sequence requests through the domestic Change Board, maintaining a visible backlog across Marketing, Sales, Finance, and Operations.

Minimum Qualifications

Candidates must meet all of the following to be considered:

• 5+ years of professional experience in analytics engineering, data engineering, or a comparable hands-on technical role, including at least 2 years supporting a commercial function (growth marketing, e-commerce, or digital product).
• Demonstrated ownership of at least one analytics system-built end to end — raw source through pipeline, transformation, and interface — that was adopted and relied upon by business users.
• Production-level proficiency in Python and SQL.
• Hands-on experience with Google BigQuery or an equivalent cloud data warehouse.
• Working experience with web analytics data at the API level, ideally the GA4 Data API.
• Demonstrated fluency with agentic AI development tools (Claude Code, Cursor, Copilot or equivalent) used to ship production work, including the testing discipline to validate what they produce.
• Working knowledge of retail or DTC unit economics, including CAC, LTV, media efficiency, and contribution margin.
• Demonstrated experience presenting analytical findings directly to senior or executive stakeholders.
• Bachelor’s degree in Computer Science, Analytics, Data Science, Statistics, Economics, Information Systems, or a related quantitative field, or an equivalent combination of education and professional experience.

Preferred Qualifications

You do not need to check every box below to be a strong candidate.

• Experience in a DTC, e-commerce, or specialty retail environment; cycling, outdoor, or sporting goods is a strong plus.
• Front-end development capability (HTML/CSS/JavaScript) sufficient to build and style internal tools independently.
• Experience building forecasting or predictive models that were adopted into a recurring planning process.
• Experience working within a matrixed or multi-region structure alongside a central IT or BI function.
• Exposure to SAP Analytics Cloud (SAC), Business Warehouse (BW), Tableau, or Power BI.
• Experience defining metric standards across functions with competing definitions.
• Master’s degree in a quantitative or technical field.

First 90 Days

The successful candidate should expect the following as their initial scope of work:

• Take ownership of the GA4 API data pipeline refactor, including the Python and SQL extraction layer and marketing application data ingestion, with metric parity signed off by global technical partners.
• Deliver the agreed backlog on the internal analytics application, including marketing touchpoint integration at the family level, marketing spend inputs feeding the Economics area, and traffic fallout adjustment.
• Absorb the existing repository, product architecture, and roadmap documentation, and take over as the owner of both.
• Establish the intake and prioritization rhythm with Marketing, Sales, and the Change Board.
• Deliver a first working rolling revenue and traffic forecast.

What Success Looks Like

• Commercial leaders make decisions from a single trusted set of numbers.
• Forecast accuracy and planning cycle time both improve measurably.
• The analytics platform is documented, maintainable, and inheritable — not a single-point dependency.
• Manual reporting effort across supported functions falls substantially.
• Data definitions stay consistent with global BI standards, with no duplicated warehouse effort.

Work Environment

This position is fully remote within the United States. Work is performed primarily from a home office using Company-provided equipment, with periodic on-site work at Canyon Bicycles USA headquarters in Carlsbad, CA. The role requires regular collaboration with cross-functional and international teams, including scheduled meetings outside standard local business hours to accommodate global time zones.

The position requires approximately 10–15% travel. Regular travel to the Carlsbad, CA headquarters is an expected and essential function of this role. Occasional international travel may be required; the successful candidate must be able to travel internationally and to obtain and maintain the documentation required for such travel.

Physical Factors

The physical demands described here are representative of those that must be met to successfully perform the essential functions of this job, with or without reasonable accommodation. This role is primarily sedentary and performed at a computer workstation. The employee must be able to remain in a stationary position for extended periods, operate a computer and other standard office equipment, and communicate and exchange accurate information with colleagues. Periodic travel to Company locations is required. Canyon Bicycles USA provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable federal, state, and local law.

Equal Opportunity and Accommodation

Canyon Bicycles USA is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, pregnancy, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Employment with Canyon Bicycles USA is at-will.