Senior Analytics Engineer at ZOE

Join us in redefining how people approach their health! ZOE merges cutting-edge scientific research with innovative AI to enhance the well-being of millions. Our personalized nutrition program, created by leading scientists, revolutionizes the essence of healthy eating. Currently available in the US and the UK, ZOE empowers over 100k members to embrace healthier habits and lead better lives. Our expertise spans biology, engineering, data science, and nutrition, resulting in groundbreaking publications in top scientific journals such as Nature Medicine, Science, The Lancet, and more.

Learn More: Tune into our Science & Nutrition Podcast on Spotify, Apple Podcasts, or Audible, now with over 3 million listens!

About ZOE

As a remote-first, high-growth startup, ZOE is backed by visionary founders, investors, and entrepreneurs who've built multi-billion dollar tech companies. We're always on the lookout for innovative thinkers and builders to join our mission to tackle epic health challenges. Together, we can improve human health and make a significant impact on millions of lives.

We prioritize inclusivity, transparency, ownership, open-mindedness, and diversity. Our passion lies in delivering excellent results and fostering a culture of open learning. We aim to empower our teams to make long-term, high-impact decisions while prioritizing their well-being and that of those around us.

About the Team

The Analytics Engineering team at ZOE is dedicated to transforming data into actionable insights, enabling groundbreaking scientific research and informed decision-making across the organization. We operate in a fast-paced, dynamic environment where empowerment and ownership are core values. ZOE's scalable and efficient data models support a wide array of functions including Research, Data Science, Engineering, Product Management, Marketing, and Finance. Our robust processes ensure data accuracy and reliability, proactively resolving issues before they impact the business.

About the Role

As a Senior Analytics Engineer, you'll be instrumental in scientific discoveries and ZOE's success by making data accessible to Researchers, Data Scientists, and Analysts. You will design, build, and maintain the ZOE data warehouse, driving scientific research that enhances our nutrition and health recommendations, develops superior products, and delights our customers.

This role offers a unique opportunity to significantly impact personal and professional development by providing guidance and expertise, helping team members achieve their goals and maximize their potential.

Responsibilities:

• Define data requirements from research trials alongside data from the main product experience.
• Automate data collection from diverse sources such as labs, questionnaires, and study coordination tools.
• Integrate data from trials into our data warehouse.
• Ensure consistency and accuracy of study data for research and product development.
• Design, build, and maintain data models for efficient data access.
• Conduct exploratory data analysis to understand patterns and trends.
• Ensure data security and compliance with regulatory standards.
• Maintain documentation on data sources and schemas for internal and external stakeholders.

Ideal Candidate:

You will thrive in this role if you:

• Have a passion for Science, Nutrition, and Physiology.
• Possess a collaborative and innovative mindset.
• Have experience with dbt and Apache Airflow.
• Boast a track record in data engineering roles, particularly in data integration, ETL processes, and data warehousing.
• Are proficient in Python and SQL.
• Have experience with Data Warehouses (e.g., BigQuery, SnowFlake) and interactive computing environments like Jupyter Notebooks.
• Understand data governance principles and best practices for data quality, security, and compliance.
• Are detail-oriented and reliable in ensuring data accuracy.
• Strive for clean code, maintained tests, and frequent releases.
• Have experience with cloud platforms like Google Cloud Platform (GCP) and data workflow tools like Apache Airflow.
• Understand CI/CD best practices and containerization.
• Can effectively collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.

Don’t worry if you don’t tick all the boxes; we’re