Product Analyst, Payments

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

📋 Description

• Take ownership of metrics and analytical direction for the Payments product segment

• Collaborate closely with Product Directors to shape strategy and prioritize roadmap initiatives

• Discover growth avenues, assess potential impacts, and direct strategy through metric frameworks and insights

• Partner with senior management, business stakeholders, and researchers to formulate and validate qualitative and quantitative hypotheses

• Develop and sustain dashboards, analyses, and forecasts for the team's key performance indicators

• Process and transform large datasets to extract insights and conduct root-cause analysis

• Work alongside Product teams to test features and confirm hypotheses via experimentation and A/B testing

• Conduct segmentation analysis to gain insights into customer behavior and engagement drivers

• Construct, manage, and enhance the analytics infrastructure for payment processes across various applications and technologies

• Influence Product strategy and enhance the experience for millions of patients and healthcare professionals

⛳️ Requirements

• Over 3 years of pertinent analytics experience with business KPIs and metrics

• At least 2 years of experience collaborating with product managers and user research teams

• Strong grasp of statistical principles

• Familiarity with complex SaaS product environments

• Proficient in SQL (mandatory)

• Experience with DBT

• Skilled in Tableau, Power BI, or similar data visualization tools (mandatory)

• Knowledge of Google Analytics, Amplitude, or similar event-tracking platforms (mandatory)

• Proficiency in Python and its data science libraries

• Experience with Claude Code or similar AI IDEs

• Exceptional communication and stakeholder management abilities

• Competence in translating complex analyses into actionable insights for executives and stakeholders

• Experience with data manipulation, transformation, and reshaping from various sources

• Skilled in root-cause analysis and application of regression, correlation, and causation concepts

• Experience in contributing to data warehouses and generating aggregated datasets

• General understanding of data pipelines and data flows

• Proven experience in designing, implementing, and evaluating A/B tests and interpreting outcomes

• Experience in training stakeholders on tools and fostering data literacy and independence

• Residing in Portugal with authorization to work there; application requires proof of European work eligibility

🏝️ Benefits

• Remote work arrangement

• Flexible working hours (completely flexible, as you typically need to attend just a few meetings weekly)

• Additional paid leave on your birthday or work anniversary

• Complimentary English language classes