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Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC ’s Disruptor 50, and Forbes’ Fintech 50 list for five years running. 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.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 7 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices 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 of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
The Role: 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 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.
* 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.
* 3+ years working as an Analytics Engineer or Data Engineer * Excellent in SQL, ETL, and at least one language (ex. Python, Java) * Experienced in cleaning, aggregating, and validating data sets for analytical consumption * Experienced with DBT or similar tools * Advanced English Level
* Experienced with Snowflake management and functions (not just coding in Snowflake) * Experience with Airflow * Familiar with advanced modeling and machine learning techniques outside of school or Kaggle
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.