Senior Product Analyst - Tala

About Tala

Tala is the AI-native credit infrastructure that connects global capital to the global majority. We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, Tala has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. Tala is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on.

The company has been named to the Fortune Impact 20 list, CNBC’s World’s Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes’ Fintech 50 list for ten years running.

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.

The Role

The Senior Product Analyst is a strategic partner to Product, Engineering, and Design, responsible for shaping product direction through rigorous analysis, strong product intuition, and deep ownership of metrics, instrumentation, and experimentation. This role combines analytical depth with product thinking, enabling teams to understand user behavior, validate hypotheses, identify growth opportunities, and make high-quality decisions at speed. The Senior Product Analyst operates autonomously, leads analytical strategy for their product area, and ensures that the product team has a robust, batteries-included analytical foundation.

What You'll Do

• Drive end-to-end analytical discovery: define questions, shape hypotheses, perform root-cause analysis, and identify second-order effects.
• Produce high-context, narrative-driven analysis that shapes product decisions—not just dashboards or metrics reporting.
• Design tracking plans and instrumentation schemas; work with engineering to ensure correct implementation.
• Implement automated alerting and monitoring to surface health issues, funnel breaks, outliers, and behavior shifts in real time.
• Lead the design, execution, and interpretation of experiments (A/B tests, multivariate tests, staggered rollouts).
• Select and apply appropriate statistical techniques (frequentist/Bayesian, CUPED, time-series methods).

What You'll Need

• 4-6 years in product analytics, data science, or growth analytics with extensive product-team experience.
• Proven track record influencing product roadmaps with evidence-based insights.
• Experience in high-velocity experimentation environments (consumer apps, fintech, SaaS, marketplaces).
• Expert SQL; fluency with Snowflake or equivalent cloud data warehouses.
• Strong experimental design and statistical analysis skills.
• Competence with data visualization tools and dashboards (Looker, Metabase, etc.).