Lead Data Analyst

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Oversee a cross-functional analytics team focused on Chat, Retention, AI, and Operations.

• Direct the analytics strategy for the Chat experience across different stages of the funnel and various regions.

• Collaborate with Product stakeholders to enhance the conversion funnel.

• Develop and refine dashboards and analytical frameworks, primarily leveraging Amplitude.

• Determine conversion drivers, drop-offs, and friction points throughout the customer journey.

• Transform behavioral data into actionable product recommendations and experiments.

• Spearhead the analytical strategy concerning user retention and lifecycle behavior.

• Examine user demographics, behaviors, and lifecycle variations to pinpoint retention change drivers.

• Establish frameworks to uncover root causes of retention increases or decreases.

• Collaborate with Product, Operations, Growth, and Fintech teams to prioritize initiatives.

• Analyze AI-driven and conversational experiences, including breakdowns and their effects on conversion and retention.

• Define and track metrics related to the conversational funnel.

• Create analytics and tools to assess operator workload, performance, and operational efficiency.

• Work with Customer Experience to enhance how operators manage conversations.

• Measure the incremental impact of operators through rigorous experimentation.

• Shift operational analytics from reactive reporting to proactive decision-making.

• Develop the team and create an analytical roadmap that aligns with company and product priorities.

• Map KPIs, drivers, and relationships throughout the customer lifecycle.

• Investigate complex business challenges and transform them into structured analytical inquiries.

• Enhance the quality, speed, and impact of analytical outputs.

• Cultivate stakeholder relationships across Product, Operations, AI, and Leadership.

• Design scalable frameworks, dashboards, and tools for self-service analysis.

• Identify opportunities for leveraging data, automation, or AI to optimize organizational operations.

• Allocate 40% of time to hands-on work and 60% to collaborating with stakeholders and guiding the team.

⛳️ Requirements

• A minimum of 6 years of experience in Data Science, Analytics, Product Analytics, or a related domain.

• Strong analytical and problem-solving abilities, with a talent for dissecting complex and ambiguous issues.

• Proficient SQL skills with experience handling large datasets.

• Deep understanding of product metrics, funnels, cohorts, retention strategies, experimentation, and behavioral analytics.

• Capability to go beyond mere reporting to grasp why metrics fluctuate and what actions can influence them.

• Solid business acumen and a natural curiosity.

• Experience in managing and developing analytical teams.

• Outstanding stakeholder management and communication skills.

• Ability to collaborate effectively with technical teams, Product, Operations, and senior leadership.

• Skill in influencing decisions without relying solely on formal authority.

• Comfort in challenging stakeholders and translating complex analyses into clear, actionable stories.

• Strong capabilities in SQL and data analysis.

• Experience with product analytics tools such as Amplitude, Mixpanel, or similar.

• Familiarity with BI and visualization tools; Félix utilizes Omni.

• Knowledge of experimentation and causal inference is a significant advantage.

• Experience with AI/LLM products or conversational analytics is a plus.

• Background in fintech, conversational products, or other high-growth settings is advantageous.

• Equivalent competencies in relevant areas will also be considered.

🏝️ Benefits

• Competitive salary.

• Initial stock options grant.

• Annual performance bonus.

• Health, dental, and vision plans.

• Continuous learning opportunities.

• Unlimited PTO.

• Paid parental leave.

• Work model: currently fully remote, with plans to transition to a hybrid setup in the future.

• Empowering opportunities for growth in a dynamic entrepreneurial environment.