Marketing Analytics Engineer
New York City
- Pay
$155,000–185,000/yearAnnual period assumed — pay source
Compensation and Benefits The expected salary range for this role is $155 - $185k. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Equity in the company
Read the full posting- Work setup
Hybrid stated — work setup source
In this role, you'll be part of our Engineering team, working cross-functionally with Marketing and Finance. This is a hybrid position based in New York City you’ll be required to come into our office at least 2 times a week along with the rest of the team. We work from home the rest of the week, but the office is always available in case you want to make use of it more often. Key Responsibilities
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingDefine, build and manage key data pipelines, foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
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.
From the employer’s posting
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 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.
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.
What you’ll bring
All qualificationsCore experience
- 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.
Preferred experience
- Bachelor’s degree in Computer Science or equivalent.
- Familiarity with cloud data environments (AWS, GCP, or Azure) and columnar/analytical databases.
- Experience working with AI agents, LLM-powered tooling, or similar systems.
Qualification wording
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.
Bachelor’s degree in Computer Science or equivalent.
Familiarity with cloud data environments (AWS, GCP, or Azure) and columnar/analytical databases.
Experience working with AI agents, LLM-powered tooling, or similar systems.
Tools in this posting
- SQL
- AWS
- Azure
- BigQuery
- Google Cloud (GCP)
- JavaScript
- Swift
Source — Tool mentions in context
- 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.
- 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.
- 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).
- Bachelor’s degree in Computer Science or equivalent. - Swift - Familiarity with cloud data environments (AWS, GCP, or Azure) and columnar/analytical databases.
Benefits in the posting
Full benefits wording- Equity in the company
- Health, Dental & Vision Insurance (company pays 100% premium for employee)
- 401k matching up to 4%
- Wellness Reimbursement ($100/month)
- 4 weeks of PTO. After 2 years in the company you get 5 extra vacation days, and 5 more after 4 years.
- Annual company retreats
From the employer’s posting.
About copilot-money
Copilot Money is on a mission to help people stress less about money.
In the employer’s words · Read in context
Job description
Who we are
Copilot Money is on a mission to help people stress less about money. We’re building a new kind of financial platform that empowers people to take control of their finances, make informed decisions, and achieve their goals. We're a high-energy, fast-paced startup looking for determined, hands-on folks to join our team and make a real impact on people's financial lives.
The Role
In this role, you'll be part of our Engineering team, working cross-functionally with Marketing and Finance.
This is a hybrid position based in New York City you’ll be required to come into our office at least 2 times a week along with the rest of the team. We work from home the rest of the week, but the office is always available in case you want to make use of it more often.
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.
Why should you work with us?
A product people love: Copilot users are extremely engaged with the app and are sharing it with their friends and family.
A team that cares: We’re a bunch of geeks who care about data quality and good coffee. We go the extra mile when it comes to making our users happy (and making an excellent pour-over).
Significant impact: We are currently a small, thirty-five-person team with big ambitions. Our team has previous experience at companies like Google and Apple.
Multicultural team: We’re based in NYC 🇺🇸 and in Santiago, Chile 🇨🇱.
Great company culture: You’ll work with a highly collaborative team that’s always learning and ready to help each other out.
Compensation and Benefits
The expected salary range for this role is $155 - $185k. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.
Equity in the company
Health, Dental & Vision Insurance (company pays 100% premium for employee)
401k matching up to 4%
Home Office Setup, and monthly Internet reimbursement (up to $80/month)
Wellness Reimbursement ($100/month)
4 weeks of PTO. After 2 years in the company you get 5 extra vacation days, and 5 more after 4 years.
Annual company retreats
At Copilot Money, we believe that diverse teams build better products. We strongly encourage applications from individuals of all backgrounds, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Join us in our mission to help the world stress less about money and create financial clarity for all!
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation and Benefits The expected salary range for this role is $155 - $185k. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Equity in the company
- Location & working pattern
New York City
In this role, you'll be part of our Engineering team, working cross-functionally with Marketing and Finance. This is a hybrid position based in New York City you’ll be required to come into our office at least 2 times a week along with the rest of the team. We work from home the rest of the week, but the office is always available in case you want to make use of it more often. Key Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 5, 2026
- Recorded sightings
- 18
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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