product analyst in payments

Docplanner develops healthcare technology that helps patients access and share doctor reviews while enabling doctors to manage appointments. Its Payments team builds revenue infrastructure for accepting and processing patient payments to doctors and clinics.

• Help product areas strategically build the product by identifying growth opportunities, estimating their potential impact, and guiding 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 the Product team to test features and validate hypotheses through experimentation and A/B testing;
• Perform segmentation analysis to understand customers and their main engagement drivers;
• Build, maintain, and continuously evolve the analytics stack for processes across multiple applications and technologies.

• 3+ Years of relevant analytics experience working with business KPIs and metrics;
• 2+ Years working closely with product managers and user research teams;
• Proficiency in SQL and experience with DBT;
• Experience with data visualization tools such as Tableau, PowerBI, or similar;
• Experience with event-tracking tools such as Google Analytics, Amplitude, or similar;
• Experience with Python and its Data Science ecosystem;
• Experience working with Claude Code or similar AI IDEs;
• Strong communication and stakeholder management skills;
• Ability to translate complex analyses into clear, actionable insights for executives and stakeholders;
• Ability to manipulate, transform, and reshape data from multiple sources;
• Experience with root-cause analysis and statistical concepts such as regressions, correlations, and causation;
• Understanding of data warehouses, aggregated datasets, data pipelines, and data flows;
• Experience designing, implementing, measuring, and interpreting A/B tests;
• Experience training stakeholders and helping teams become more data-literate and autonomous;
• Nice to have: familiarity with complex Product organizations in the SaaS market, experience using cutting-edge tools and frameworks, experience incorporating AI to automate and improve work, experience training and coaching others.

• Flexible remuneration and benefits system via Flexoh, including restaurant, transportation, kindergarten, and training tax savings;
• Flexible working hours, with only a couple of meetings weekly in most cases;
• Summer intensive schedule during July and August: 7-hour workdays with earlier finishing;
• 23 Paid holidays with exchangeable local bank holidays;
• Additional paid holiday on a birthday or work anniversary;
• Private healthcare plan with Adeslas for the employee and subsidized family coverage;
• Access to hundreds of gyms through Andjoy for the employee and family;
• Access to iFeel online psychological support and counseling;
• Free English and Spanish classes;
• Employment type: Internship.