Data-Driven Product Analytics Strategist

hace 4 semanas


Ciudad de México, Ciudad de México Kueski A tiempo completo
About the Role

We are seeking an experienced Data-Driven Product Analytics Strategist to join our team at Kueski, a leading buy now, pay later (BNPL) and online consumer credit platform in Latin America.

Estimated Salary:

$120,000 - $180,000 per year, depending on experience.

Job Description

As a Data-Driven Product Analytics Strategist, you will be responsible for defining and driving the measurement strategy for all products in our ecosystem. You will work closely with engineering and product teams to create a strong culture around data instrumentation, measurement, insights, and experimentation.

This role requires 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
  • Work cross-functionally to identify opportunities to improve customer experiences and reduce operational effort/costs, and 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.
  • Partner with engineering managers and product managers to define and implement complex technical solutions for measurement.
Key Responsibilities
  • Collaborate with Product & Engineering leadership to define and execute a strategy for product monitoring across the ecosystem.
  • Provide thought leadership to the product and engineering organization to drive a data-first mindset.
  • Mentor and coach junior product analysts in best practice product analytics strategy, mindset, and processes.
  • Translate complex data into clear, actionable insights for stakeholders.
Required Skills and Qualifications
  • 5+ years of experience in product analytics, owning end-to-end product analytics pipelines and product analytics tooling.
  • Technical knowledge to define and implement complex analytics solutions.
  • Experience in designing and mapping processes, identifying opportunities for efficiency gains within the financial sector.
  • Hyper-organized and strong attention to detail.


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