Senior Growth Engineer managing analytics for digital marketing campaigns at Headlight. Contributing to performance advertising, data engineering, and marketing attribution solutions in a remote team environment.
Responsibilities
Advise clients and media buying teams on channel event instrumentation requirements and user attribution, such as Meta’s Conversions API (CAPI), Google Enhanced Conversions, TikTok Events API, and other platform-specific integrations.
Validate and architect web and app analytics event pipelines in tools such as Google Tag Manager and Mobile Measurement Partners such as AppsFlyer, Adjust, or Branch.
Design, execute, and analyze matched-market (geo-lift) incrementality tests using tools such as Meta’s GeoLift library and other ML tooling within Jupyter notebooks.
Contribute to and support Marketing Mix Modeling (MMM) initiatives, including data preparation, model interpretation, and client-facing presentation of results.
Write data ingest pipelines and API integrations using Python running on the Google Cloud Platform (GCP).
Create BI dashboards and views using Looker.
Write data pipelines using SQL in Data Build Tool (dbt) on Google BigQuery.
Investigate data discrepancies and troubleshoot pipeline and reporting issues across web, app, and advertising platforms.
Integrate web, app, eCommerce (e.g., Shopify), and CRM (e.g., Salesforce) data with advertising channel audience and conversion APIs (e.g., Facebook CAPI, Google Enhanced Conversions).
Implement custom BI visualizations using HTML/CSS/JS + Vue.
Implement OAuth endpoints, web callbacks, and other API integrations supporting data and reporting integrations in Python.
Requirements
5+ years of experience in a marketing technology role such as marketing engineering, solutions engineering at a marketing technology company, marketing analytics engineering, or a similar position.
Deep, hands-on understanding of marketing attribution on both web and app, including direct experience configuring and working with Mobile Measurement Partners (MMPs) such as AppsFlyer, Adjust, Branch, or Kochava.
Strong understanding of incrementality testing via matched-market / geo-lift experimentation, with hands-on experience designing or executing such tests.
Exposure to Marketing Mix Modeling (MMM) concepts, tools, or platforms; ability to support data preparation and interpret model outputs.
A strong understanding of SQL fundamentals and the ability to confidently write analytical queries.
Experience with Python in either a data engineering, web/API development, or data science setting, along with a demonstrated ability to manage and architect Python-based software projects.
Experience with version control management, in particular Git.
A strong working knowledge of web technologies, HTTP cookies, HTML/CSS/JS, browser-to-server communication, and REST APIs.
Comfortable communicating, presenting findings, soliciting requirements, and receiving feedback directly from clients in a proficient manner.
Familiarity with the marketing technology ecosystem, including channel conversion APIs, tag management platforms, analytics SDKs, and the broader landscape of tools used for paid social and search measurement.
Benefits
Competitive salary
Fully remote work environment
Generous PTO
Pays 100% of Health, Vision & Dental Insurance for Canada-based employees
Opportunities to travel
Flexible work hours
Working with a team of marketing nerds striving to find the cutting edge of our trade
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