Doctolib

About Doctolib

Simplifying healthcare access for millions

πŸ‘₯ 1K-5KπŸ“… Founded 2013πŸ“ Levallois-Perret, Île-de-France, France

Key Highlights

  • 17,000+ healthcare professionals using the platform
  • 6 million patients served monthly
  • Presence in 435 healthcare facilities across Europe
  • Headquartered in Levallois-Perret, France

Doctolib is the leading European platform for online medical appointment scheduling, serving over 17,000 healthcare professionals and connecting with 6 million patients monthly. Headquartered in Levallois-Perret, Île-de-France, Doctolib is present in 435 healthcare facilities across France and Germa...

🎁 Benefits

Employees enjoy competitive salaries, stock options, generous PTO, and a flexible remote work policy, promoting a healthy work-life balance....

🌟 Culture

Doctolib fosters a culture centered around improving healthcare access, emphasizing technology-driven solutions and a commitment to user experience. T...

Skills & Technologies

Overview

Doctolib is seeking a Senior Analytics Engineer to build data products that provide insights and support decision-making. You'll work with Python, SQL, and BigQuery to develop data pipelines and dashboards. This role requires experience in analytics engineering and collaboration with cross-functional teams.

Job Description

Who you are

You have 5+ years of experience in analytics engineering, with a strong background in building data products that drive insights and support decision-making. Your expertise in Python and SQL allows you to develop robust data pipelines and maintain data quality. You understand the importance of GDPR compliance and data security, ensuring that all data handling meets regulatory standards. You thrive in collaborative environments, working closely with product, design, and business teams to define data needs and specifications. Your experience with tools like BigQuery and Tableau enables you to create impactful dashboards that communicate insights effectively. You are passionate about leveraging data to transform access to healthcare and improve the daily lives of care teams and patients.

Desirable

Experience with dbt is a plus, as it enhances your ability to manage data transformations efficiently. Familiarity with agile methodologies will help you adapt to the fast-paced environment at Doctolib. You are open to learning new technologies and methodologies that can further enhance your contributions to the team.

What you'll do

As a Senior Analytics Engineer at Doctolib, you will be responsible for building and maintaining data pipelines that support our AI strategy. You will work with Python and Dagster to ensure that data flows seamlessly through our systems. Your role will involve developing and maintaining data marts in BigQuery, utilizing SQL and Jinja to optimize data storage and retrieval. You will create dashboards using Tableau to provide high-level reporting and insights to stakeholders across the organization. Collaboration is key in this role; you will engage with various teams to understand their data needs and define specifications that align with business objectives. You will also monitor and optimize data quality, security, and availability, ensuring that our data infrastructure is reliable and efficient. Your contributions will directly impact how Doctolib leverages data to enhance healthcare access and improve patient outcomes.

What we offer

At Doctolib, you will be part of a dynamic tech team that is dedicated to building innovative products and features. We offer a collaborative work environment where your ideas and contributions are valued. You will have the opportunity to work on a fully cloud-native platform that supports web and mobile app interfaces, adapting to the unique requirements of different healthcare specialties. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to transform healthcare access and make a meaningful impact in the lives of patients and care teams.

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