Analytics Engineer
Nox Health
Data: há 1 semana
Cidade: Porto, Porto
Tipo de contrato: Tempo total
About Nox Health
Simply put, we believe in the power of sleep.
As sleep health champions, we want more and more people to wake up to a brighter day every day. And, we are making daily progress, as we help more organizations see sleep as transformational and a foundational pillar of health. We strive to give more access to the technology and care they need to lead fuller lives.
Our depth of knowledge in the science of sleep gives us a unique perspective on sleep as a critical intervention strategy in chronic disease. We help people see the right problem and the right way forward, elevating not just our solutions but also advancing the field of sleep medicine.
Our vision is to work with our partners — employers, health systems, health plans, government agencies, provider groups and others committed to transforming care — to expand sleep health care to where it is needed, so it can take its rightful place in the healthcare ecosystem.
About The Role
To help us build a robust, well-documented, and high-performance data ecosystem. This role sits at the intersection of data engineering and data analysis—responsible for maintaining data quality, documenting data structures and usage, optimizing query and database performance, and enabling sustainable, reliable reporting.
You’ll work closely with development teams, data teams, and business stakeholders to ensure that our data infrastructure is accurate, understandable, and efficient.
What You'll Do
Simply put, we believe in the power of sleep.
As sleep health champions, we want more and more people to wake up to a brighter day every day. And, we are making daily progress, as we help more organizations see sleep as transformational and a foundational pillar of health. We strive to give more access to the technology and care they need to lead fuller lives.
Our depth of knowledge in the science of sleep gives us a unique perspective on sleep as a critical intervention strategy in chronic disease. We help people see the right problem and the right way forward, elevating not just our solutions but also advancing the field of sleep medicine.
Our vision is to work with our partners — employers, health systems, health plans, government agencies, provider groups and others committed to transforming care — to expand sleep health care to where it is needed, so it can take its rightful place in the healthcare ecosystem.
About The Role
To help us build a robust, well-documented, and high-performance data ecosystem. This role sits at the intersection of data engineering and data analysis—responsible for maintaining data quality, documenting data structures and usage, optimizing query and database performance, and enabling sustainable, reliable reporting.
You’ll work closely with development teams, data teams, and business stakeholders to ensure that our data infrastructure is accurate, understandable, and efficient.
What You'll Do
- Data Catalog & Dictionary
- Catalog all databases, tables, and fields across the data ecosystem.
- Define and document the business meaning, expected values, and usage of each field.
- Distinguish between persistent and volatile fields to inform reporting strategies.
- Data Quality
- Build and maintain automated checks to monitor data quality across databases (e.g. missing data, duplicates, …).
- Identify data inconsistencies or anomalies and trace them back to their source.
- Collaborate with development teams to resolve data integrity issues.
- Performance & Optimization
- Analyze query and service performance to ensure reliability and scalability.
- Identify slow-running queries and optimize them using best practices.
- Ensure proper indexing strategies are in place and being utilized effectively.
- Cross-Team Communication & Enablement
- Act as a liaison between development, data, and analytics teams.
- Provide feedback and training to developers on best practices for querying and data structure.
- Define sustainable, efficient strategies for building reports and dashboards.
- 3–6 years of experience in data engineering, analytics engineering, or a similar role.
- Strong SQL and experience with performance tuning and optimization.
- Hands-on experience with data modeling and documentation tools like dbt.
- Understanding of data quality frameworks and validation techniques.
- Familiarity with cloud data platforms and modern data stack tools.
- Strong communication and collaboration skills; must be proficient in English and able to work cross-functionally.
- Ability to think both technically and from a business perspective
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