Global Strategy Analyst - Customer Success (Remote Friendly) - Remote

Docplanner Group; Barcelona; Remote; EUR 65,000 - 90,000; Full time

Job summary

Docplanner Group is scaling its global Customer Success function with a focus on AI-first operations and data-driven insights. The role blends strategy, analytics and technical project management to drive retention and growth across markets.

You will lead data modelling, build dashboards, and coordinate cross-market initiatives, acting as TPM for key initiatives with local teams and stakeholders.

Qualifications

• 3–5 years in strategy, operations, analytics, or related roles.
• Quantitative background in data science, statistics, math or CS.
• Experience with large data sets and dashboards.

Responsibilities

• Lead data analytics and modelling focused on retention and growth.
• Design and run AI-first CS use cases and measure impact.
• Coordinate cross-market projects and align stakeholders.
• Support execution of strategic initiatives with local teams.

Skills

Strategy & Ops

Analytics

Project management

Data modelling

Machine learning basics

Education

Data Science / Statistics / Math / CS or related

Tools

Superset

Tableau

SQL

DBT

Job description

Company Description

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.

Why join us?

Real impact – We help doctors help patients. Your work truly makes a difference.At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands‑on.Shape the future, sustain growth – Make a difference now and build for long‑term success.

Job Description

As our organization continues to scale and evolve, we need strong operational excellence to ensure our teams deliver maximum value efficiently. We're looking for a smart, independent operator who can combine strategy, analytics, and Technical Project Management execution to help build the next generation of global, AI‑first Customer Success. In this role, you are contributing by ...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.

Qualifications

You have 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 dashboardsKnowledge of SQL, DBT and experience in working with databases - e.G. from prior BI experience