Analytics Engineer
Data Science
London, UK · New York, NY, USA
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.