Analytics Engineer II

About Tala

Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC’s Disruptor 50 five years in a row, CNBC’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our 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, over nine 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. 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.

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.

What You'll Need

• 3+ years working as an Analytics Engineer or Data Engineer
• Excellent in SQL, ETL, and at least one language (ex. Python, Java)
• Experienced with DBT or similar tools
• Experienced in cleaning, aggregating, and validating data sets for analytical consumption
• Advanced English Level

Nice to Have

• 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