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About Tala
Tala is AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. Backed by more than $500 million in funding, Tala has distributed more than $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia—building one of the most robust datasets on thin-file borrowers anywhere in the world. Our mission is simple yet bold: to unleash the economic power of the global majority. We are looking for daring, data-driven leaders passionate about building the trust and credit infrastructure for the global majority.
Our pioneering work and proven impact have earned us consistent recognition, including being named to:
CNBC’s Disruptor 50 for five years.
CNBC’s World's Top Fintech Companies for two consecutive years.
Forbes’ Fintech 50 list for nine consecutive years.
Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.
Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!
The Role
We’re looking for a Senior Analytics Engineer to elevate how data powers decisions across our company. In this role, you’ll own the design, development, and optimization of our presentation layer—transforming raw data into trusted, accessible insights for business and product teams. You’ll partner with data engineers, analysts, and business stakeholders to evolve our data ecosystem, ensure data reliability, and drive scalable best practices that make analytics faster, clearer, and more impactful.
This is a hands-on, high-visibility role for someone who loves solving complex data challenges, mentoring others, and building the foundation that empowers a data-driven culture.