The Analytics Engineer will join the Data Foundations team to build and monitor pipelines that power analytics across core healthcare datasets like medical claims, pharmacy, lab results and biometric data. This role involves building robust, scalable data models in DBT + BigQuery, serving use cases across product, operations and clinical teams. It’s ideal for someone technically strong in SQL/DBT, experienced with healthcare data and eager to work at the intersection of infrastructure, data quality and downstream impact.
We’re looking for a Business Intelligence Reporting Analyst who is passionate about turning data into stories. This junior-level role will be a key contributor in building and maintaining dashboards and reports that support performance marketing, operations, and executive decision-making. You’ll work extensively with Looker Studio (formerly Google Data Studio) and Google BigQuery, and help stakeholders understand what the data is saying.
Conduct product analytics and growth marketing analytics in the Android and iOS ecosystems. Closely collaborate with product managers and product marketing managers. Instrument critical telemetry and build large data models. Analyze large data sets to understand user behavior and long-term trends. Conduct and consult on experiments. Build out key data assets in Google Cloud Platforms such as BigQuery and Looker. Inform, influence, and execute our product strategy.
Lead the redesign of our BigQuery-based data warehouse for scalability, performance, and usability. Develop and monitor Airflow DAGs using dbt and Python to ensure timely, reliable data flows and sync with engineering teams. Keep existing pipelines, Airflow, dbt, and ingestion tools running smoothly with minimal downtime. Collaborate with Analytics, Product, Marketing, and Engineering teams to understand their data needs and deliver trusted results.
As a Senior Data Analyst at Pleo, you will partner closely with product teams to unlock value from data, conduct in-depth analysis of user behavior and product performance, design and analyze A/B tests, and identify scalable methods of providing self-serve product analytics. Your insights will influence product decisions, driving growth and improving customer experience.
We are seeking a highly skilled Data Analyst to support our Product, Sales, and Marketing teams with actionable insights, robust data infrastructure, and strategic recommendations. You will work cross-functionally to enhance decision-making through data, while also expanding our analytics capabilities by integrating new data sources and building scalable solutions.