Analytics Engineer II

Reposted 19 Days Ago
Hiring Remotely in India
Remote
Mid level
Fintech • Mobile • Financial Services
Tala provides financial services to the global underbanked using next generation mobile technology and data science.
The Role
As an Analytics Engineer II at Tala, you will enhance the presentation layer of data, collaborate on data infrastructure improvement, utilize AI for workflow automation, and provide self-service support for data analysts.
Summary Generated by Built In
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.

Skills Required

  • 3+ years working as an Analytics Engineer
  • Excellent in SQL, ETL, Snowflake, and at least one language (Python, Java)
  • Experienced with DBT or similar tools, assisted with an LLM
  • Experienced in cleaning, aggregating, and validating data sets
Am I A Good Fit?
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The Company
HQ: Santa Monica, CA
484 Employees
Year Founded: 2011

What We Do

Tala is a global technology company on a mission to build a financial system that works for everyone. More than 6 million people have borrowed through Tala’s smartphone app, which provides instant credit scoring, lending, and other personalized financial services in emerging markets. We are present in the United States, Kenya, Mexico, the Philippines and India.

Why Work With Us

We are on a global mission to serve the underserved. We use mobile technology and data science to make financial services simple, inclusive, and accessible. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

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