Product Analyst, Payments

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Docplanner

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🏪 Marketplace

☁️ SaaS

💰 Venture Round - DocPlanner on 2021-09

Healthcare • Marketplace • SaaS

Docplanner is a global healthcare platform that connects patients with doctors and supplies practice-management and patient-engagement tools to clinics and medical professionals. The company offers an integrated end-to-end solution to help patients find and book doctors, reduce no-shows, improve clinic workflows, and help doctors manage their online presence and reputations. Docplanner operates in 13 countries with over 2,800 employees, reports ~25 million appointments booked in a month, ~100 million monthly website visits, and about 300,000 active doctors using its services.

📋 Description

• Own the metrics and analytical direction for the Payments product area • Work directly with Product Directors to influence strategy and roadmap priorities • Identify growth opportunities, estimate potential impact, and guide strategy through metric frameworks and insights • Work with higher management, business stakeholders, and researchers to create and validate qualitative and quantitative hypotheses • Create and maintain dashboards, analyses, and forecasts for the team’s main metrics • Manipulate and transform large datasets to generate insights and perform root-cause analysis • Collaborate with Product teams to test features and validate hypotheses through experimentation and A/B testing • Perform segmentation analysis to understand customers and engagement drivers • Build, maintain, and evolve the analytics stack for payment processes across multiple apps and technologies • Shape Product strategy and the experience of millions of patients and healthcare professionals

🎯 Requirements

• 3+ years of relevant analytics experience working with business KPIs and metrics • 2+ years working closely with product managers and user research teams • Excellent understanding of statistics • Familiarity with complex SaaS product organizations • Proficiency in SQL (essential) • Experience with DBT • Experience with Tableau, Power BI, or similar data visualization tools (essential) • Experience with Google Analytics, Amplitude, or similar event-tracking tools (essential) • Python and its data science libraries • Experience working with Claude Code or similar AI IDEs • Strong communication and stakeholder management skills • Ability to translate complex analyses into actionable insights for executives and stakeholders • Experience manipulating, transforming, and reshaping data from multiple sources • Root-cause analysis and application of regressions, correlations, and causation concepts • Experience contributing to data warehouses and creating aggregated datasets • General understanding of data pipelines and data flows • Experience designing, implementing, and measuring A/B tests and interpreting results • Experience training stakeholders on tools and enabling data literacy and autonomy • Located in Portugal with permission to work there; application asks for basis of European work authorization

🏖️ Benefits

• Remote work model • Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly) • Additional paid holiday on your birthday or work anniversary • Free English classes