Senior Product Analyst, Efficiency

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September 24

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DocPlanner

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Healthcare Insurance • SaaS • B2C

DocPlanner is a global healthcare platform dedicated to improving the patient experience by helping them find the perfect doctor and book appointments easily. By creating an enjoyable patient journey, DocPlanner assists patients in accessing the best care possible anytime and anywhere. The company also offers doctors an integrated end-to-end solution to help manage their practices and improve their online reputation, allowing them to focus more on their patients. With a presence in 13 countries, including Poland, Brazil, and Spain, DocPlanner facilitates over 22 million appointments each month and hosts more than 90 million patient visits. It supports 260,000 active doctors, making it a leading healthcare platform with a strong international footprint.

1001 - 5000 employees

Founded 2012

⚕️ Healthcare Insurance

☁️ SaaS

👥 B2C

📋 Description

• Take ownership of the team's metrics and create/maintain dashboards, analyses, and forecasts • Work with higher management, business stakeholders, and researchers to create and validate hypotheses qualitatively and quantitatively • Manipulate and transform large data sets to extract insights and perform root-cause analysis • Communicate and present findings, insights, and recommendations to stakeholders and wider audiences • Help shape product strategy with data-driven insights, defining main metrics and customer journeys • Work closely with Data Engineering to maintain and improve data sources used in dashboards • Define specs for software instrumentation to ensure visibility of customer interactions and provide access for stakeholders • Analyze funnels and conversion rates and lead experiments and A/B tests to validate hypotheses • Collaborate with product analysts, researchers, product management, developers and designers

🎯 Requirements

• 5+ years of relevant experience in analytics working with business KPIs and metrics • 2+ years working closely with product managers and user research teams • Fluency in SQL (essential) • Data visualization tools such as Tableau, PowerBI or similar (essential) • Familiar with event-tracking tools such as Google Analytics, Amplitude or similar (essential) • Familiar with Python and its ecosystem of Data Science libraries • Experience working with data warehouses (Redshift, BigQuery etc.) • Great communication skills and stakeholder management • Fluent in manipulating, transforming, and reshaping data, preferably from multiple data sources • Experience doing root-cause analysis and applying statistical concepts like regressions, proving correlations and causation • Experience running A/B Tests and interpreting the results • Contributing to data warehouses, creating aggregated data sets, general understanding of data pipelines and flows • Familiarity with complex Product organizations in the SaaS market • Enjoys constant learning and high autonomy

🏖️ Benefits

• A salary adequate to your experience (range shown on career ladder) • Share options plan after 6 months of working with us • Remote or hybrid work model with hub in Warsaw • True flexibility and work-life balance • Flexible working hours (fully flexible; only a couple of meetings weekly) • 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, a platform for mental wellness offering online psychological support and counseling • Free English classes • Career ladder and transparent salaries • Equal opportunities and recruitment adaptations when needed