Taptap Send

Taptap Send

Analytics Engineer

New York · Full-time

Sponsorship not specifiedDetected 1 day ago
PythonSQLSparkdbtData EngineeringData ScienceData VisualizationStakeholder ManagementCommunication

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

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

Responsibilities

  • Lead special data projects - take on high-priority, cross-functional problems that span Finance, Compliance, Product and Markets, digging in from first principles to deliver trusted answers, owning problems end-to-end.
  • Partner with teams across the business - from Product to Markets to Engineering - to ensure their domains are modelled correctly.
  • Support business critical Finance and Compliance reporting - delivering the datasets behind month-end close and audit requests, and building the pipelines that make each cycle faster.
  • Keep data trustworthy - build the tests, checks and alerts that surface issues before they become incidents.

Requirements

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

Nice to have

  • Experience in a high-pace context - e.g. startup or scale-up
  • Experience with Python and/or R
  • Experience leading cross-functional projects, or those involving big data
  • TAPTAP VALUES https://www.taptapsend.com/our-values
  • Propose solutions
  • Be proactively candid, with yourself and others
  • Love the particular
  • Maybe, even have fun

Benefits

  • 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.

Company info

  • 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.
  • 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 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.
  • Truly global team - 250+ people, 50+ nationalities, 50+ languages
  • We're looking for a hands-on Analytics Engineer for our next phase of growth.
  • You'll design, build and maintain dbt models that teams from across the business - from Finance to Product to Markets - rely on to make decisions.
  • As well as owning your set of domain models, you'll take on high-priority special data projects: the thorny, cross-functional problems that don't sit neatly inside one team and need someone who can dig in from first principles and deliver.
  • If you love working in dbt, untangling messy problems, and seeing your work drive real decisions, this is the role for you.
  • You'll report to our Head of Data, partnering closely with teams including Finance, Compliance, Treasury, Product, Data Engineering and Markets.
  • The role is full-time - we're open to individuals in one of the following hubs: London, Dubai or NYC.
  • 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 help answer data questions from across the business.
  • 4+ years in a data role (Analytics Engineering and/or Data Science)
  • Strong SQL skills, and comfortable working with large, complex datasets in dbt
  • Strong communication and stakeholder management skills
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