Senior Data Analyst

Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Data Analyst to join our growing US-based data Engineering team. In this crucial role, you will leverage data to drive business intelligence and strategic decision-making, primarily working with SQL, Python, and DBT.

Data Analytics: Collect, clean and analyze data to extract meaningful insights and identify trends and patterns relevant to our business and product.


Visualization & Reporting: Develop and maintain dashboards to effectively communicate trends and patterns to internal and external stakeholders


Collaboration: Work closely with multidisciplinary teams such as product, engineering and customer success to identify data gaps and acquire data sources that enhance our understanding of the business and product.


Domain Expertise: Serve as the domain expert for business contexts of our analytic data, understanding the assumptions and limitations of different business metrics.


Issue Resolution: Investigate and correct issues identified through data operations monitors, tools and reports

5+ years of experience in Data Analytics, BI or a related field, ideally at a product-focused software company.


Expert-level SQL skills with proficiency in writing efficient queries on large and complex data sets.


Understanding of database technology and experience with a cloud SQL data warehouse (e.g. BigQuery, Postgres, Snowflake)


Experience in analytical data modeling and schema design


Experience with a data visualization tool (e.g. Tableau, Looker, Sigma)


Experiences with SQL orchestration in DBT


Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.


A team player, comfortable assisting others across the organization in solving data problems and answering questions with data


Passionate about data quality, with a keen interest in data drill down and problem-solving


Ability to prioritize amid changing priorities in a fast moving environment