Lead Product Data Analyst

This is a fully remote position, open to applicants in Mexico, +3 more countries.

📋 Description

• Provide insights and reports that shape product prioritization, assessments, and business recommendations.

• Collaborate with product managers, researchers, and business stakeholders.

• Foster a data-driven culture through interactive reports, self-serve datasets, documentation, and training.

• Perform marketplace analyses, including A/B testing and multivariate models on retention or estimated time of arrival (ETA).

• Develop and maintain reliable, organized, and actionable dashboards and reporting systems.

• Build clear, documented datasets and models in the data warehouse utilizing dbt.

• Establish and standardize trusted metrics across various teams.

• Empower stakeholders to address routine inquiries through self-service reporting.

• Recognize decisions influenced by analysis and link metrics to business, product, customer, and financial outcomes.

• Operate as an independent contributor and trusted thought partner without responsibilities for people management.

⛳️ Requirements

• Proficient in advanced SQL.

• Intermediate skills in Python or R.

• Experience with A/B testing and multivariate modeling.

• Background in retention or ETA analysis.

• Proven experience in creating and maintaining dashboards and reporting systems.

• Competence with dbt for data transformation and modeling.

• Ability to generate clean, documented datasets within a data warehouse.

• Daily utilization of AI tools such as Claude, ChatGPT, or Copilot.

• Capability to work independently as a trusted thought partner.

• Proficient in collaborating with product managers, researchers, and business stakeholders.

• Business-oriented analytical mindset.

• English resume is mandatory.

• Ability to engage with US-facing partners and overlap working hours.

🏝️ Benefits

• AI tools provided, including Claude routines and other AI experimentation resources.

• Option for fully remote work.

• Flexible PTO based on outcomes rather than hours worked.