Lead Data Analyst

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

📋 Description

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

• Collaborate with Product stakeholders to enhance the conversion funnel.

• Develop and refine dashboards and analytical frameworks utilizing Amplitude.

• Identify factors driving conversions, points of drop-off, and friction areas throughout the customer journey.

• Transform behavioral data into actionable product recommendations and experiments.

• Direct analytical initiatives focused on user retention and lifecycle behavior.

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

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

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

• Define and track metrics related to the conversational funnel.

• Develop analytics and tools for monitoring operator performance, workload, queue management, and bottlenecks.

• Work with Customer Experience to enhance operator interactions.

• Assess the incremental impact of operators through thorough experimentation.

• Lead and mentor a team of data professionals.

• Establish an analytical roadmap that aligns with company and product objectives.

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

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

• Elevate the quality, speed, and impact of analytical output.

• Ensure that insights translate into actionable steps, experiments, and measurable results.

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

• Create scalable frameworks, dashboards, and tools for stakeholder self-service.

• Identify opportunities for data, automation, or AI to enhance operational efficiency.

⛳️ Requirements

• 6+ years of experience in Data Science, Analytics, Product Analytics, or a related discipline.

• Strong analytical and problem-solving capabilities, with the skill to dissect complex and ambiguous issues.

• Proficient in SQL and experienced with large datasets.

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

• Ability to go beyond mere reporting to comprehend why metrics fluctuate and what actions can affect them.

• Strong business insight and a sense of curiosity.

• Experience in managing and developing analytical teams.

• Exceptional stakeholder management and communication skills.

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

• Capability to influence decisions without relying solely on formal authority.

• Comfortable challenging stakeholders and simplifying complex analyses into actionable narratives.

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

• Experience with BI and visualization tools (the company uses Omni).

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

• Exposure to AI/LLM products or conversational analytics is beneficial.

• Background in fintech, conversational products, or other rapidly growing sectors is a plus.

🏝️ Benefits

• Initial stock options grant.

• Annual performance bonus.

• Health, dental, and vision insurance plans.

• Continuous learning opportunities.

• Unlimited paid time off (PTO).

• Paid parental leave.

• Work model: currently fully remote, with plans for a future hybrid setup.

• Empowering opportunities for growth in a dynamic entrepreneurial environment.