Recoveries Analyst II
About the role
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.
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.