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 a quarter 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 company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY. Purpose As Product Analytics Lead, you'll define and drive the measurement strategy for all products in the ecosystem, and ensure we are using information correctly for different use cases such as strategy, cross-functional communication, and product improvements. You will work closely with engineering and product to create a strong culture around data instrumentation, measurement, insights, and experimentation in pursuit of our short, mid, and long-term product / business goals. This role will require you to define a product analytics strategy and approach, and work with engineering managers to execute complex technical solutions to deliver robust product analytics across the organization. Main objectives for this position: 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. 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. Key Responsibilities: 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. 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. 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. 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. 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. Position Requirements: 5+ 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.
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