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Operations Analyst at Docplanner | Madrid

On-site Full-time

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Experience Level

Experience

Qualifications

QualificationsBachelor's degree in a relevant field (e.g., Data Science, Business Analytics, Finance). Experience with SQL and BI tools for data analysis. Knowledge of business and financial modeling techniques. Familiarity with machine learning applications. Strong analytical and problem-solving skills. Ability to work independently and adapt to changing priorities.

About the job

About Docplanner Group

Docplanner Group connects patients and healthcare providers to improve access and quality of care. With brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda, the platform supports 24 million patients and 280,000 doctors across 13 countries. The company’s marketplaces and AI-powered tools help healthcare professionals streamline their workflows and focus on patient needs.

Learn more about Docplanner products here.

Why Join Docplanner in Madrid?

  • Directly influence patient care through your work.
  • Be part of a team of over 3,000 people, with an agile culture that values adaptability and growth.
  • Help build sustainable solutions that serve both immediate business needs and long-term growth.

Role Overview: Operations Analyst

The Operations Analyst manages the sales data architecture within the data warehouse. This role designs analytical models and automation processes that support quick, informed decisions. The position offers autonomy and expects proactive identification of analyses that drive New Business Monthly Recurring Revenue (MRR).

Main Responsibilities

  • Manage the sales data layer in the data warehouse:
    • Design, maintain, and improve sales schemas.
    • Ensure data is accurate, consistent, and accessible for the sales team.
    • Work closely with Data Engineering on data models and pipelines.
  • Lead data analytics and modeling for New Business MRR:
    • Run data queries and work with SQL and business intelligence tools.
    • Develop business and financial models, including forecasting and budget simulations.
    • Apply machine learning techniques, such as prediction models and clustering.

About Docplanner Group

Docplanner Group is dedicated to improving health outcomes globally by connecting patients with healthcare providers efficiently. As the largest healthcare platform, we offer advanced solutions that support medical professionals in delivering outstanding care. Join us to be part of a transformative journey in the healthcare industry.

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