Posted at: 2 April
Recoveries Analyst II
Company
Tala is a Santa Monica-based fintech company providing financial services to the Global Majority in emerging markets, enabling millions to access credit and manage their financial needs.
Remote Hiring Policy:
Tala embraces a remote-first approach, hiring from various regions including Kenya, the Philippines, Mexico, and India, allowing team members to work flexibly across time zones.
Job Type
Full-time
Allowed Applicant Locations
United States, India, Mexico, Philippines, Kenya
Job Description
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
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Build and maintain dashboards for Collections and Customer Support performance tracking.
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Write and optimize SQL queries (Snowflake preferred) to extract, validate, and transform data.
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Support recurring reporting (BAU) and ad hoc data requests from business stakeholders.
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Monitor data quality and troubleshoot discrepancies to ensure accuracy and consistency.
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Conduct basic trend analysis to identify patterns, anomalies, and performance drivers.
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Assist in improving reporting processes and contribute to automation of manual workflows.
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Collaborate with other analysts and engineers across the organization to support ongoing analytics initiatives.
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Work closely with APAC operations teams while contributing to cross-market reporting when required.
What You'll Need
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Experience: 2+ years in Analytics, preferably in BPO / FinTech / high volume operations analytics.
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SQL: Strong proficiency in SQL (Snowflake preferred). Ability to write efficient, scalable queries.
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Dashboarding: Familiarity with BI tools such as Looker, Tableau, Omni or Power BI.
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Excel: Strong Excel skills for data analysis and reporting.
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Analytical Skills: Ability to interpret data, identify trends, and clearly explain findings.
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Data Handling: Experience working with structured datasets and ensuring data accuracy.