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 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 team metrics • Manipulate and transform large datasets and perform root-cause analysis • Collaborate with Product teams on feature testing and hypothesis validation through experimentation and A/B testing • Perform segmentation analysis to understand customers and engagement drivers • Build, maintain, and evolve the analytics stack across apps and technologies supporting patient payments to doctors and clinics • Train and coach stakeholders to improve data literacy and autonomy

🎯 Requirements

• 3+ years of relevant analytics experience with business KPIs and metrics • 2+ years working closely with product managers and user research teams • Excellent understanding of statistics • Familiarity with complex Product organizations in the SaaS market • Proficiency in SQL and experience with DBT • Experience with Tableau, Power BI, or similar data visualization tools • Experience with Google Analytics, Amplitude, or similar event-tracking tools • Experience with Python and its data science ecosystem • Experience working with Claude Code or similar AI IDEs • Ability to manipulate, transform, and reshape data from multiple sources • Root-cause analysis and application of regressions, correlations, and causation • Experience contributing to data warehouses and creating aggregated datasets • General understanding of data pipelines and flows • Experience designing, implementing, measuring, and interpreting A/B tests • Experience training stakeholders on tools and improving data literacy • Permission to work in Poland; visa sponsorship may be required • Fluent English

🏖️ Benefits

• B2B or CoE contracts, it's up to you • Remote or hybrid work model with or hub in Warsaw • Flexible working hours • 20/26 days of paid time off (depending on your contract) • Additional paid day off on your birthday or work anniversary • Private healthcare plan with Signal Iduna for you and subsidized for your family • Multisport card co-financing • Access to iFeel online psychological support and counseling • Free English and Spanish classes