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Marketing Analytics Engineer

Copilot Money LogoCopilot Money
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Salary

$155,000 - $185,000

Location

New York, NY

Posted

Yesterday

In this role, you'll be part of our Engineering team, working cross-functionally with Marketing and Finance.

Key responsibilities

  • Understand the data needs of finance, marketing, and product teams in terms of key data models and centralized reporting, and translate that into technical requirements.
  • Define, build and manage key data pipelines, foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
  • Become an expert in Copilot Money’s data models and the company's data architecture.
  • Own attribution and conversion measurement end-to-end: server-side tagging (sGTM), conversion APIs, and audience sync across paid channels (Meta, Google, etc.) and payment providers (Apple, Stripe).
  • Own analytics instrumentation across web, iOS, and the marketing site (GA4, Amplitude): event taxonomy, tracking setup, event audits, and closing data gaps so product, marketing, and finance can trust the numbers.
  • Maintain marketing integrations (sGTM, Customer.io, Impact, AppsFlyer, etc.) and stand-up new integrations.
  • Support consent and compliance tooling (Transcend, Google Consent Mode, cookie consent) to maintain privacy-safe standards as regulations evolve.
  • Manage marketing website operations: landing pages, tracking setup, troubleshooting, and technical support for SEO/AEO/GEO work.
  • Explore and build automation systems that improve brand visibility across search and AI-generated answers (i.e., designing content architecture and schema frameworks to increase citation frequency in LLMs.)

Required qualifications

  • 3+ years of experience in analytics engineering, marketing engineering, data engineering, or a similar technical role with a marketing-facing component.
  • Expertise in SQL and JavaScript/Node to transform data into accurate, clean data models.
  • Hands-on experience with GA4, Google Tag Manager (including server-side), and BigQuery, implementing them, not just reporting.
  • Experience with attribution and conversion tracking for paid channels (conversion APIs, audience sync, event deduplication).
  • Familiarity with marketing and analytics tooling (i.e., Amplitude, Customer.io, Impact, AppsFlyer, etc.) or similar.
  • Strong communicator who can work across engineering, marketing, and finance, translating between them as a core part of the job.
  • Team player who can manage time independently.
  • Based in NYC.

Desired qualifications

  • Bachelor’s degree in Computer Science or equivalent.
  • Swift
  • Familiarity with cloud data environments (AWS, GCP, or Azure) and columnar/analytical databases.
  • Experience working with AI agents, LLM-powered tooling, or similar systems.

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