Analytics Engineer II

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🕒 April 5

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Tala

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

💳 Fintech

🤖 Artificial Intelligence

👥 B2C

Fintech • Artificial Intelligence • B2C

Tala is a fintech company that aims to break down financial barriers for individuals across Kenya, Mexico, the Philippines, and India through its innovative money app. The company provides a suite of financial services, including credit, payments, savings, and transfers, to empower their customers. Leveraging advanced artificial intelligence and machine learning technologies, Tala offers personalized financial experiences and creates digital financial identities for users who have been underserved by traditional finance institutions. With a focus on real-time money management, Tala's app simplifies access to instant credit and other financial services for millions, enhancing users' economic power and quality of life.

📋 Description

• 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.

🎯 Requirements

• 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