Marketing Growth Analyst (Engineer)

Jetson Home • North Vancouver, BC

2d

About The Position

Jetson is on a mission to accelerate the transition of 100 million homes across North America away from fossil fuels toward sustainable energy use. We believe in a future that is 100% electric and 100% better. Homes are one of the largest sources of carbon emissions, yet adoption of solutions like heat pumps remains slow due to cost and complexity. Jetson is solving this by building the first fully vertically integrated home electrification company — making clean energy simple, transparent, and affordable. We rely heavily on technology, automation, and data to scale this impact. At Jetson, we value people who are excellent at their craft, curious about new tools (including AI), and motivated to continuously improve how work gets done.

Jetson has gone from $20M to $100M in run-rate sales this year. We're on track to end the year around $250M and scaling toward $1B. That growth is being driven by a marketing org that is getting more sophisticated every quarter — performance marketing across Meta, Google, direct mail, OOH, and CTV; a strong in-house creative studio; an emerging partnerships function; and an experimentation and lifecycle team that needs sharper attribution and faster feedback loops to keep compounding.

The data layer underneath all of that is what unlocks the next leg of growth. We've built out a real data lake — Iceberg on AWS Glue, dbt for transformation, Fivetran for ingestion, Metabase for BI. The core framework exists. Meaningful work remains to refine it, fill the gaps, integrate the next wave of sources, and ensure the team has accurate real-time data they can trust.

You'll own the marketing data lake end to end — the integrations that bring data in, the bronze/silver/gold models that shape it, the dashboards that surface it, and the analysis that turns it into decisions the team actually makes. This is a full-stack role. On any given week you might be standing up a new Fivetran connector for a direct mail vendor, writing the dbt models to land it cleanly into our medallion architecture, building the Metabase dashboard for the performance team to use, and then pulling the analysis together to tell them whether the campaign worked. There's no handoff between the engineering and the analysis — you do both. You'll work closely with the performance marketing team (who'll lean on you for measurement and incrementality), the growth and experimentation team (who'll need experiment infrastructure and LTV models), and our core data engineering team (who own the broader platform you're building on top of).

Requirements

• 5+ years working on marketing, growth, or revenue data.
• Deep dbt fluency, including experience with production dbt projects, medallion architecture, testing, contracts, and model design.
• Hands-on experience with a modern data lake or warehouse stack (e.g., Iceberg, Glue, Fivetran, Metabase, or equivalents like Snowflake/BigQuery/Databricks with comparable tooling).
• Strong SQL and Python skills.
• Experience building attribution models (understanding of last-click, MTA, MMM, and incrementality testing).
• Experience supporting experimentation at scale (e.g., geo tests, holdouts, conversion lift, incrementality).
• Experience building dashboards that are actively used and provide clear insights.
• Strong focus on data quality, including tests, contracts, monitoring, and lineage.
• AI-native: experience using tools like Claude Code, Cursor, or similar to ship real work.
• Ability to communicate clearly with non-technical marketers, explaining data insights effectively.

Nice To Haves

• Direct experience with Iceberg, AWS Glue, Fivetran, dbt, Metabase.
• Experience with marketing-specific data sources: Meta and Google Ads APIs, HubSpot, call tracking platforms, direct mail vendor data, CTV reporting.
• Experience at a company that scaled from low nine figures to ten figures in revenue.
• Experience with identity resolution and customer data platforms.

Responsibilities

• Own the marketing data lake end to end, including integrations, bronze/silver/gold models, schemas, freshness, cost, and contract with downstream consumers.
• Stand up Fivetran connectors (or write Python when Fivetran can't) for new data sources like Meta and Google Ads, HubSpot, direct mail vendors, CTV platforms, call tracking, utility and financing partners.
• Design and maintain attribution models, including multi-touch attribution across various channels and identity resolution across web, CRM, and offline conversions.
• Build the data infrastructure for experimentation, including assignment logging, variant tracking, and exposure data, and perform analysis to validate experiment results.
• Develop models for LTV, conversion, and channel ROI to inform investment decisions.
• Build and maintain Metabase dashboards for leadership, marketing, and sales teams, enabling self-serve analytics.
• Act as an analytics partner to the Go-To-Market team, answering questions about campaign performance, market trends, and investment opportunities with data-driven insights.

Benefits

• Opportunity to make a high-leverage data hire that will influence millions in ad spend and shape business measurement.
• Opportunity to work on real infrastructure problems in a greenfield environment.
• Work with a marketing organization that has the budget, ambition, and technical literacy to utilize the built infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed