Senior Product Analytics

 

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!

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).

5–8 years in product analytics, data science, or growth analytics with extensive product-team experience

Proven track record influencing product roadmaps with evidence-based insights

Expert SQL; fluency with Snowflake or equivalent cloud data warehouses

Strong experimental design and statistical analysis skills

Familiarity with event-based instrumentation and telemetry platforms

Competence with data visualization tools and dashboards (Looker, Metabase, etc.)