Analytics Engineer

il y a 6 heures

Paris, France Zoī Temps plein

Zoī is looking for our first Analytics Engineer to join our highly engaged and expanding Data Team. Our mission—to deliver the most comprehensive preventive healthcare check-ups and tailored action plans—relies heavily on using data science to support our physicians. Each check-up produces millions of data points that must be analyzed to enable accurate diagnostics and deliver highly personalized recommendations to our members.

The Data Team plays a central role in achieving this mission. We’re seeking a skilled and accomplished Analytics Engineer who will be responsible for transforming data into actionable insights that guide strategic decisions. In this role, you’ll collaborate closely with cross-functional teams, including Product, R&D, and Medical Operations, to identify key areas for exploration, establish data-driven processes, and deliver impactful data insights.

**Main Missions**:

- Collaborate with cross-functional teams (Product, R&D, medical operations, healthcare professionals) to understand business requirements and provide data solutions that improve decision-making
- Develop and maintain robust and production-quality SQL pipelines for several business domains, adhering to engineering best practices and making sure the models are tested, documented and easy to use for other business stakeholders
- Conduct exploratory data analysis, and interpret complex data sets to deliver actionable insights.
- Identifying new opportunities for data usage and ensuring compliance with data governance and privacy regulations.
- Design and develop dashboards, reports, and visualizations to communicate insights to stakeholders, with a heavy focus on creating reusable and scalable analytical solutions to empower and promote a self-service data culture
- Perform data cleaning and validation to ensure data quality and accuracy
- Build the analytics engineering function by actively contributing to internal guidelines and best practices, suggesting process enhancement and adoption of new tools
- Keep up to date with latest industry standards and emerging tools

**Key Qualifications**:

- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field
- 4+ years of experience as an Analytics Engineer or in data analytics role, with hands-on experience on data modeling
- Strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Snowflake, Redshift)
- Familiar with Git for version control, and experience in working in a collaborative environment.
- Experience with Python for data analysis
- Experience with DBT
- Experience working with modern data stack technology, ideally during the setup and/or scaling phase, or working in healthcare, would be advantageous
- Resilience, excellent problem-solving skills and attention to detail
- Ability to communicate complex information effectively to non-technical stakeholders
- Fluent French and strong English written & spoken skills mandatory

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