Product Analytics Lead
Kueski
Software Engineering, Product, Data Science
United States · Mexico · Mexico · Remote
Posted 6+ months ago
At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.
We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions. In 2024, we were named one of the World’s Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY.
Kueski is seeking a Product Analytics Lead to lead the development and execution of a product analytics strategy that drives clarity, insight, and impact across our product ecosystem. This role is ideal for a data-driven product thinker who thrives at the intersection of strategy, technical implementation, and business outcomes.
As a key contributor, you will define measurement frameworks, align cross-functional stakeholders around shared metrics, and champion a culture of experimentation and instrumentation. You will work closely with engineering and product teams to implement robust data solutions that support decision-making across short-, mid-, and long-term product goals.
Key Responsibilities:
- Product Measurement & Strategy
- Collaborate with Product & Engineering leadership to define and execute a strategy for product monitoring across the ecosystem. Ensure that robust analytics frameworks are in place to measure product performance, user behavior, and other key metrics.
- Drive Product Measurement and Utilization: Collaborate with product and engineering teams to define, implement, and refine product measurement strategies across the ecosystem. Ensure that data-driven insights are effectively utilized to inform decisions related to communication, customer experience, and product improvements.
- Partner with engineering managers and product managers to define and implement complex technical solutions for measurement. Monitor the performance of the products, ensuring high-quality monitoring that yields insights on user behavior, fosters accountability, and reinforces a culture of data-driven product development.
- Work closely with engineering and product teams to integrate analytics tools and systems into the product development lifecycle. Ensure seamless data collection and reporting mechanisms are in place to support ongoing product improvement.
- Cross-Functional Collaboration
- Work cross-functionally to identify the biggest opportunities to improve customer experiences and reduce operational effort/costs, and then implement process or product changes to fix them.
- Collaborate with DSEs & analysts across the org to analyze data, metrics, and user behavior trends to inform strategic decisions, improve customer experiences, reduce operational inefficiencies, and enhance product features. Ensure that product and business strategies are grounded in data and analytics, driving better outcomes for the organization.
- Insight Generation & Communication
- Translate complex data into clear, actionable insights for stakeholders, both independently and in collaboration with DSEs embedded within product teams.
- Regularly communicate findings, trends, and progress against key performance indicators to leadership, to ensure alignment and informed decision-making across teams.
- Mentorship & Culture
- Provide thought leadership to the product and engineering organization to help drive a data-first mindset. Foster a culture where decisions are driven by insights derived from product analytics, and where continuous learning from data is a core value.
- Mentor and coach junior product analysts in best practice product analytics strategy, mindset, and processes.
Position Requirements:
- 8+ years product analytics experience, owning end-to-end product analytics pipelines and product analytics tooling (such as Datadog, Amplitude, Mixpanel, Google Analytics, etc.)
- Technical knowledge to define and implement complex analytics solutions that enable the data-driven development of world-class products.
- Experience in designing and mapping processes, identifying opportunities for efficiency gains within the financial sector
- Hyper-organized and strong attention to detail with a positive approach to challenges
- Be able to assess and implement quickly
- 2+ years of experience directly managing high-performing analytics teams preferred
- BS/MS in Computer Science, Computer Engineering, or equivalent
- Ability to work in a fast-paced and agile development environment
- Experience with web / mobile development technologies
- English: Advanced
At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.