Analytics Engineer II

Tala

Tala

Data Science

India · Remote

Posted on Apr 14, 2026
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About Tala
At Tala, we’re applying advanced technology and human creativity to solve what legacy institutions can’t or won't. We are a global financial infrastructure company on a mission to unleash the economic power of the global majority, recognizing that today’s financial infrastructure doesn’t work for most of the world’s population.
We’re the first and only platform to combine the intelligence of a credit bureau, the payments execution of a fintech, and the relationship expertise of a bank into one vertically integrated solution. Our platform is powered by an expansive moat of proprietary data and AI/ML decisioning technology, enabling us to deliver instant, reliable liquidity personalized to every customer's needs. Through our flagship credit app, we’ve disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa. These customers have leveraged Tala products to start and expand small businesses, manage day-to-day needs, and pursue their financial goals.
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.
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