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!
The Role
We are looking for a data-driven Analyst to join our CCR Analytics team. You will be responsible for the data management and monitoring of our loan recovery operations, creating the dashboards that power our decision-making, and identifying opportunities to scale our processes through automation and advanced analytics.
What You'll Do
Build and maintain dashboards for Collections and Customer Support performance tracking.
Write and optimize SQL queries (Snowflake preferred) to extract, validate, and transform data.
Support recurring reporting (BAU) and ad hoc data requests from business stakeholders.
Monitor data quality and troubleshoot discrepancies to ensure accuracy and consistency.
Conduct basic trend analysis to identify patterns, anomalies, and performance drivers.
Assist in improving reporting processes and contribute to automation of manual workflows.
Collaborate with other analysts and engineers across the organization to support ongoing analytics initiatives.
Work closely with APAC operations teams while contributing to cross-market reporting when required.
What You'll Need
Experience: 2+ years in Analytics, preferably in BPO / FinTech / high volume operations analytics.
SQL: Strong proficiency in SQL (Snowflake preferred). Ability to write efficient, scalable queries.
Dashboarding: Familiarity with BI tools such as Looker, Tableau, Omni or Power BI.
Excel: Strong Excel skills for data analysis and reporting.
Analytical Skills: Ability to interpret data, identify trends, and clearly explain findings.
Data Handling: Experience working with structured datasets and ensuring data accuracy.
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.
