Sobre

• 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.
• Accountabilities
• Design, implement, and analyze A/B and multivariate tests to optimize product features across multiple markets.
• Develop and maintain scalable data models to create single sources of truth for core product metrics.
• Build and deploy machine learning models (e.g., fraud detection, user segmentation) to enhance product quality and performance.
• Partner with Product Managers to define KPIs, prioritize features, and measure the impact of product launches.
• Conduct deep-dive analyses on complex product areas, providing actionable recommendations for improvement.
• Create and maintain automated dashboards and reports for real-time monitoring of product health and user behavior.
• Collaborate with Data Engineering to ensure data quality, accessibility, and proper tracking for new features.
• Mentor stakeholders in data interpretation, experimentation, and best practices.
• Experience as a Product Analyst, Data Scientist, or similar role, preferably in FinTech or B2C/B2B SaaS.
• Expert proficiency in SQL for complex data manipulation and analysis.
• Experience with data modeling principles (e.g., Kimball, relational modeling) and tools like dbt.
• Strong knowledge of designing and analyzing experiments (A/B testing) and statistical inference.
• Hands-on experience building and deploying machine learning models using Python/R and libraries such as scikit-learn.
• Ability to translate technical insights into clear, strategic recommendations for non-technical audiences.
• Experience working in fast-paced, global environments across multiple time zones.
• Familiarity with BI tools like Looker, Tableau, or Power BI for dashboard development.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• Comprehensive health and dental plan for you and your dependents, with no co-payment.
• Life insurance with extended coverage.
• Meal and supermarket vouchers.
• Home office allowance and remote-first work culture.
• Access to physical activity and online learning platforms.
• Discounts on educational institutions and partner stores.
• Online English courses with private instructors.
• Extended maternity/paternity leave and birthday day off.
• Apple equipment provided and welcome kit.
• Annual performance-based bonus and referral rewards.
• Flexible hours and remote work from any location in Latin America.
• Jobgether 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!
• #LI-CL1