Staff Product Analyst (Remote - Latam)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Product Analyst in Latin America.This role offers an exciting opportunity to leverage data to drive strategic decisions across a global product platform. You will work closely with cross-functional teams, translating complex data into actionable insights that improve product performance, user experience, and business outcomes. The position involves analyzing experiments, building scalable data models, and deploying machine learning solutions to optimize product features. You will contribute to shaping product strategy while mentoring stakeholders on best practices for experimentation and data interpretation. This role is ideal for someone who thrives in a fast-paced, global environment and wants to make a tangible impact on product success across multiple markets.AccountabilitiesDesign, implement, and analyze A/B and multivariate tests to optimize product features across multiple marketsDevelop and maintain scalable data models to create single sources of truth for core product metricsBuild and deploy machine learning models (e.g., fraud detection, user segmentation) to enhance product quality and performancePartner with Product Managers to define KPIs, prioritize features, and measure the impact of product launchesConduct deep-dive analyses on complex product areas, providing actionable recommendations for improvementCreate and maintain automated dashboards and reports for real-time monitoring of product health and user behaviorCollaborate with Data Engineering to ensure data quality, accessibility, and proper tracking for new featuresMentor stakeholders in data interpretation, experimentation, and best practicesRequirementsExperience as a Product Analyst, Data Scientist, or similar role, preferably in FinTech or B2C/B2B SaaSExpert proficiency in SQL for complex data manipulation and analysisExperience with data modeling principles (e.g., Kimball, relational modeling) and tools like dbtStrong knowledge of designing and analyzing experiments (A/B testing) and statistical inferenceHands-on experience building and deploying machine learning models using Python/R and libraries such as scikit-learnAbility to translate technical insights into clear, strategic recommendations for non-technical audiencesExperience working in fast-paced, global environments across multiple time zonesFamiliarity with BI tools like Looker, Tableau, or Power BI for dashboard developmentBachelor's or Master's degree in Computer Science, Data Science, Statistics, or related fieldBenefitsComprehensive health and dental plan for you and your dependents, with no co-paymentLife insurance with extended coverageMeal and supermarket vouchersHome office allowance and remote-first work cultureAccess to physical activity and online learning platformsDiscounts on educational institutions and partner storesOnline English courses with private instructorsExtended maternity/paternity leave and birthday day offApple equipment provided and welcome kitAnnual performance-based bonus and referral rewardsFlexible hours and remote work from any location in Latin AmericaJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match for the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the hiring company, whose internal team will make the final decision and contact selected candidates for the next steps.Thank you for your interest!