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A leading streaming service in Mexico City seeks a high-caliber Analytics Expert in Payments to lead payment performance analyses across North and Latin America. The ideal candidate has over 5 years of experience in an analytical role and proficiency in Excel, SQL, and Tableau, alongside strong communication skills. This role involves strategic analytics, collaborating with various stakeholders to enhance subscriber acquisition and retention, while optimizing analytical tools for improved performance.
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Americas Payments and Commerce Finance & Strategy (F&S) team is looking for a high caliber talent to focus on payment analytics covering both North America and Latin America as well as supporting strategic commerce initiatives to shape the broader growth strategy for the region. You will play an essential role in leading day-to-day efforts to monitor payment performance and drive analyses that increase subscriber acquisition, improve retention, and maximize revenues. You will be part of the team responsible for turning payments data into business and product insights that inform and develop our payments strategy. This position will be based in Mexico City, but frequent travel across the region should be expected.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.