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. 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!
About
the Role The Performance Insights & Automation Analyst will transform operational data into strategic assets by architecting automated reporting systems and providing deep-dive analytics. This role serves as the primary engine for high-agility business intelligence, handling ad-hoc and real-time reporting and leveraging AI-driven insights to eliminate manual dependencies and drive high-level intelligence for the Shared Services team. \n
What You'll Do Reporting Automation & AI Analytics: Architect and maintain automated data pipelines using SQL and BI tools (Looker/Snowflake). Integrate AI analytics for the WFM team , utilizing tools such as Gemini to generate automated reports and synthesized insights. Ad Hoc & BAU Operational Support: Provide dedicated reporting support for pilots, experiments, dialer adjustments, and new campaigns (outside the scope of Global CCR Analytics) Deep-Dive Analytics: Conduct weekly and monthly performance "deep dives" to identify trends in recovery rates, connect rates, and agent efficiency, providing actionable insights to leadership. Performance Forecasting: Support long-range planning by building predictive models that estimate staffing needs based on marketing spend, historical trends, and collection targets. Efficiency Projects: Lead data-driven initiatives to reduce manual reporting time for operational leads, enabling them to spend more time on high-value coaching. Visualization Development: Design intuitive, self-service dashboards that allow Site Directors to monitor real-time and historical performance at a glance. Data Governance: Establish and maintain a "Single Source of Truth" by standardizing metric definitions and ensuring data consistency across all operational dashboards. What You'll Need Technical Mastery: Advanced SQL proficiency and extensive experience with BI tools such as Looker, Snowflake, or Tableau. AI & Prompt Engineering: Familiarity with leveraging Generative AI (e.g., Gemini) for data synthesis and automated report generation. Analytical Thinking: Ability to synthesize complex datasets into clear, high-impact business recommendations. Data Visualization: Skill in designing intuitive dashboards that communicate insights to non-technical stakeholders. \n 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.
