Staff Analytics Engineer

Taptap Send; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Taptap Send is seeking a hands-on Staff Analytics Engineer to own the dbt modelling layer that informs Finance, Product, and Markets. You will set the technical bar for Analytics Engineering, delivering trusted, self-serve data as the company scales in a cross-border payments context.

You will report to the Head of Data and partner with the COO, Engineering, Finance, Treasury, and Markets. The role is full-time with hubs in London, Dubai, or NYC, enabling global collaboration.

Qualifications

• 7+ years in Analytics Engineering and/or Data Science.
• Strong SQL skills and experience with large, complex datasets using dbt.
• Strong communication and stakeholder management skills.
• Hands-on experience with cloud tech (AWS, GCP or Azure) and a modern cloud warehouse (Snowflake/Redshift/BigQuery).
• Fluency with modern BI tools (Looker/Mode) to enable self-serve data.
• Experience with Python and/or R.
• Right to work in one of advertised hubs (UK/US/UAE).
• Detail-oriented and pragmatic with a 'no task too small' attitude.

Responsibilities

• Own dbt transformations; design, build and maintain mission-critical models with tests and docs.
• Produce dashboards, alerts and tools to surface issues before incidents.
• Build knowledge layer, docs and quality checks to enable self-serve data.
• Apply AI tools across the modelling lifecycle and drive adoption across teams.
• Tackle high-priority data projects and domain problems.
• Peer-review code, share best practices, mentor the team, raise data standards.

Skills

SQL

dbt

Cloud platforms

BI tools

Python/R

Stakeholder management

Data modelling

Communication

Tools

Snowflake

Redshift

BigQuery

Looker

Mode

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 Staff Analytics Engineer to own the delivery of first-class data systems at Taptap Send. This is a senior technical IC role: you'll design, build and maintain the dbt modelling layer that all teams - from Finance to Product to Markets - rely on to make decisions.

You’ll set the technical bar for Analytics Engineering at TTS. That means owning our thorniest modelling problems, ensuring that trusted, self-serve data is default across the company. If you live and breathe dbt and want to apply that craft to real problems in a rapidly scaling cross-border payments context then this is the role for you.

You’ll report to the Head of Data, partnering closely with our COO, Engineering, Finance, Treasury, and Markets teams, and help shape how the broader data discipline scales. The role is full-time - We're open to individuals in one of the following hubs: London, Dubai or NYC.

Key responsibilities

• Own dbt transformation. Design and build the mission-critical models, and the standards, tests and docs that keep them reliable and performant at scale

• Pre-empt problems. Produce the dashboards, alerts and tools that surface the issues before they become incidents

• Ensure self-serve data. Build the knowledge layer, docs and quality checks, so others can drive their own analysis

• Use AI effectively. Use AI tools and agents across the modelling lifecycle - from accelerating dbt development to improving data quality - and help the rest of the team do the same

• Tackle meaty domain problems e.g. via high-priority special data projects

• Champion Data. Peer-review code, share best practice at weekly meet-ups, mentor the team, and raise the bar for data best practice at the company

Required

• 7+ years in a data role (Analytics Eng and/or Data Science)

• Strong SQL skills, and comfortable working with large, complex datasets in dbt

• Strong communication and stakeholder management skills

• Hands-on experience with cloud tech (e.g. AWS, GCP or Azure) and a modern cloud warehouse (e.g. Redshift, Snowflake, BigQuery)

• Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve

• Experience with Python and/or R

• Detail-oriented and pragmatic, with a 'no task too small' attitude

• Right to work in one of advertised hubs (UK/US/UAE)

Nice-to-have

• Experience in a high-pace context - e.g. startup or scale-up

• Experience leading cross-functional projects with Finance, Engineering or Product

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.