Strategy Analyst

At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients.

• Supporting the design and creation of the global Customer Success function of the future, relating to: Insights (customer journey customisation, research projects, experimentation), Productivity (product automations, operations effort optimisation and capacity utilisation), Best practices (cross-market sharing, external expertise/benchmarks).
• Help define, test, and roll out AI-first Customer Success use cases.
• Prioritize use cases according to impact.
• Ensure they are practical, measurable, and adopted by teams.
• Forward thinking in terms of scalability and customer journey.
• Independently leading data analytics and modelling with a special focus on Retention and Growth.
• Data queries and solid understanding of data management topics (Superset, Tableau, SQL).
• Machine learning application (prediction models, clustering, decision trees etc.).
• Business/financial modelling (business analysis, forecasting, budget simulations).
• Supporting the execution of key strategic projects / initiatives in the markets, working hand in hand with local teams in our DP countries.
• Scale results/experiments from one market into global projects.
• Liaise with in-market stakeholders to align on project direction and status.
• Act as a TPM for selected initiatives, coordinating stakeholders, timelines, risks, and follow-up.

• 3–5 years of experience in strategy, operations, analytics, project management, or a related role.
• Ideally, a Data Science, Statistics, Math/Physics, CS, Finance or similarly quantitatively oriented educational background.
• Technical expertise in working with large data sets: Knowledge of Superset/Tableau/ reporting tools - ability to edit/create dashboards.
• Knowledge of SQL, DBT and experience in working with databases - e.g. from prior BI experience.
• Desirable but not mandatory - knowledge and passion for data science (Python modelling experience; knowledge of the key data science algorithms: clustering, regression, decision trees, x-gradient boost, etc.).
• Desirable proven experience in designing and implementing advanced analytics (data preparation, feature engineering, sample management, model validation and productization).
• Prior experience in business analysis and modelling will be a plus (financial models, forecasting, business performance measurement etc.).
• Interest in and practical ability to apply AI in Customer Success operations.
• Proven experience working with multicultural teams, demonstrated communication skills and ability to navigate within a complex organisation.
• Demonstrated experience in collaborating with both data engineering and product/operational teams - experience on operating and improving “live” processes.
• Able to package insights and communicate with stakeholders/ lead working sessions with teams.
• You're fluent in English (any other languages specially Spanish, Portuguese & Polish - are a plus!).