Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, we are looking for a Data Engineer to build the analytics engine that will power our next phase of growth.

The Role

As our Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help us understand our users, optimize our growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do

Location: Santa Ana, CA (In-Office, 5 Days/Week)

Type: Full-Time

Salary: $24 - $26 per hour

About Us

eJam is a fast-growing DTC incubator powering top-performing consumer brands. We're obsessed with testing, iterating, and scaling — and we're looking for a hungry junior developer who's fluent in modern web fundamentals and AI-powered development tools like Claude Code, Cursor, and v0.

You'll work alongside our CRO team, designers, and marketing leads in our Santa Ana office to rapidly build and iterate on high-converting landing pages, checkout experiences, and funnel flows. This role is perfect for someone who can move fast, leverage AI to accelerate development, and isn't afraid to learn on the fly.

What You'll Work On

Landing page & funnel development

• Building conversion-focused landing pages from Figma designs
• Custom checkout pages and multi-step funnels using Checkout Champ
• A/B test variants and rapid iteration cycles in a high-velocity testing environment
• Webflow landing page builds and customizations

Tracking & analytics implementation

We are a growth team responsible for basically the growth of the company. We are looking for a Performance Analyst who will own event tracking, attribution quality, and traffic efficiency across mobile and web products.

Responsibilities

• Implement and maintain event tracking for mobile apps and web platforms.
• Work with 3rd-party tracking platforms (Adjust, AppsFlyer)
• Postback setup and reconciliation
• Integrate and support SDKs (mobile & web) in close collaboration with engineering teams
• Work with Google Firebase: event configuration and validation funnel, retention, and behavioral analysis
• Work with Google ICM and Facebook AEM
• Design and maintain server-to-server (S2S) tracking: client vs server-side event logic
• Monitoring and resolving data discrepancies
• Analyze traffic quality and data efficiency:

- Identify low-quality or fraudulent traffic
- Analyze cohort behavior, retention, LTV, and conversion paths

• Apply anti-fraud techniques:

- Detect abnormal patterns (click spamming, SDK spoofing, bot traffic, attribution fraud)
- Collaborate with platforms and ad networks on fraud prevention
- Build and maintain whitelists and blacklists of traffic sources, placements, and publishers

Data Scientist (Full-Stack / Generalist)

Location: Remote / Flexible Type: Full-Time

Compensation: Competitive

We are seeking an experienced, versatile Data Scientist who thrives in a fast-paced startup environment. In this role, you will have the freedom to identify high-impact opportunities, design and implement technical solutions, and measure their success across our global product suite.

We value generalists over specialists. The ideal candidate has broad experience across the entire data science lifecycle rather than deep expertise in just one niche. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. At our firm, you aren't just a number; you maintain ownership of your projects from initial conception to final implementation.

What You'll Do:

Data Scientist - Consumer Product Optimization

Location: New York City, London (Office)

Compensation: $250K - $300K

We are seeking an experienced, versatile Data Scientist to join our team, which is focused on a fast-paced consumer-facing product within the fintech or equivalent industry. This is a high-autonomy role where you will have the freedom to identify opportunities, design and implement solutions, and measure their impact across our entire product suite.

We value generalists who possess breadth across the data science field and thrive on end-to-end ownership. You will collaborate with cross-functional teams while driving projects independently from conception to completion.

The Data Scientist will be responsible for leveraging data to drive product decisions, optimize user experiences, and uncover strategic opportunities for growth.

Junior Data Analyst (Product Focus)

Location: London, New York City (Office)

Compensation: $175K - $225K + Tokens/Equity

We are seeking a motivated Junior Data Analyst who is eager to learn, grow, and make a significant impact in a fast-paced environment at the intersection of consumer technology and next-generation finance. In this role, you will play a crucial part in supporting data initiatives across our product, helping various teams make informed decisions through clear analysis, reporting, and insight generation.

You will work closely with senior data staff while gradually taking on more ownership as you develop your skills in a supportive, high-autonomy environment.

As a Junior Data Analyst, you will support critical data initiatives, translating raw data into actionable insights that directly influence product strategy and user experience. You will be instrumental in tracking key performance indicators (KPIs) and uncovering opportunities for growth and optimization.