Analytics Engineer

Taptap Send; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Taptap Send is seeking a hands-on Analytics Engineer to build and own production dbt models across remittance and new product launches, powering financial reporting and product decisions. You’ll sit in the Finance Analytics team, reporting to the Finance Analytics Lead, with exposure to senior leaders across Treasury, Product, Data Engineering and Markets.

The role is full-time with hubs in London or NYC. We value practical problem solving, a data-driven mindset, and the ability to translate

Qualifications

• 3+ years in an analytical or analytics engineering role.
• Strong SQL skills and comfortable working with large, complex datasets.
• Strong communication and stakeholder management skills.
• Experience with modern BI tools (e.g. Looker, Mode) and enabling real self-service.
• Detail-oriented and pragmatic, with a 'no task too small' attitude.
• The right to work in the UK.

Responsibilities

• Own dbt models end-to-end — design, build and maintain models with tests and documentation.
• Drive product launch analytics — partner with product and commercial teams to model and report performance.
• Automate reconciliation at scale — build frameworks comparing numbers with third-party data.
• Support finance and compliance reporting — provide datasets for month-end close and audits.
• Use AI effectively — apply AI tools to accelerate dbt development and improve data quality.
• Contribute to analytics community — peer‑review code and share knowledge.

Skills

SQL

Stakeholder management

Communication

BI tools

Analytical thinking

UK work eligibility

Tools

dbt

Python

R

Job description

About Us

We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fueling local economies, and changing how millions access financial services.

Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.

We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.

Here’s a little more:

• Founded by Harvard grads and 3‑time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest‑growing NGO in the world)
• Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
• Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
• Truly global team - 250+ people, 50+ nationalities, 50+ languages
• Guided by our values - ownership, impact, humility, and heart - in deed, not just word

The Role

We're looking for a hands‑on Analytics Engineer for our next phase of growth. We're placing big bets — new products, new markets, new rails — and every one of them relies on financial reporting that keeps pace. That's where this role comes in.

You'll build and own production dbt models — spanning our core remittance business and new product launches — where what you build powers financial reporting and drives product decisions: revenue and costs modelled correctly from day one, and reconciliation that keeps our numbers trustworthy. If you love working in dbt, digging into problems from first principles, and seeing your work drive real decisions, this is the role for you.

You'll sit in our Finance Analytics team, reporting to our Finance Analytics Lead, with significant exposure to our Head of Data, directors across the company, and teams including Treasury, Product, Data Engineering and Markets.

The role is full‑time – we’re open to individuals in one of the following hubs: London or NYC

Key responsibilities

• Own dbt models end‑to‑end — design, build and maintain the models in your domain, with the tests, documentation and schema coverage that keep them reliable and performant at scale
• Drive product launch analytics — be the data partner to product and commercial teams at launch: commercials modelled correctly from day one, and reporting that shows how each bet is performing
• Automate reconciliation at scale — build automated frameworks that prove our numbers against third‑party data, across our core product and every new launch
• Support finance and compliance reporting — deliver the datasets behind month‑end close and audit requests, and build the pipelines that make each cycle faster
• Use AI effectively — apply AI tools and agents across the modelling lifecycle, from accelerating dbt development to improving data quality
• Contribute to our analytics community — peer‑review code, share knowledge at weekly meetups, and rotate on the analytics first‑responder rota answering data questions from across the business

You have

• 3+ years in an analytical or analytics engineering role
• Strong SQL skills, and comfortable working with large, complex datasets
• Strong communication and stakeholder management skills
• Experience with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self‑serve
• Detail‑oriented and pragmatic, with a 'no task too small' attitude
• The right to work in the UK

Nice to have

• Experience in a high‑pace context – e.g. startup or scale‑up
• Experience with dbt, Python and/or R
• Experience partnering with finance teams — you speak their language, or want to learn it

Taptap Values

• Impact first
• Team next
• Accept reality
• Propose solutions
• Win with grit
• Be proactively candid, with yourself and others
• Love the particular
• Own it
• Create positive energy
• Maybe, even have fun

Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.

If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.

Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.