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!
As an Analytics Engineer II, you will build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company. You will collaborate with other teams to seek ways to improve our data infrastructure. You will leverage AI to automate workflows and reduce delivery times for building and maintaining DBT models, tests, and the ingestion of new data sources. You will provide self-service and training to the rest of the company to enable data analysts to explore insights using our data infrastructure. This will bring data accessibility to a new level.
What You'll Do
Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company.
Constantly seeking ways to improve our data infrastructure.
Provide self-service and training to the rest of the company and bring data accessibility to a new level.
Utilize AI tools to automate the development of DBT models and tests, significantly reducing delivery times for the ingestion of new data sources.
What You'll Need
3+ years working as an Analytics Engineer
Excellent in SQL, ETL, Snowflake, and at least one language (ex. Python, Java)
Experienced with DBT or similar tools, assisted with an LLM.
Experienced in cleaning, aggregating, and validating data sets for analytical consumption
Self-starter who is capable of independently researching and designing solutions to a wide range of challenges of a rapidly-scaling business
Able to look beyond the immediate deliverable, find the underlying problem, and solve it
Passionate about constant learning and bringing best practices back to the team
Comfortable in a fast-paced environment, understanding that week-to-week priorities may shift as new business challenges emerge
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
