Senior Data Analyst

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.

Base Salary: $165K - $200K USD per year + Equity

Candidates living in (or willing to relocate to) San Francisco, New York or Pittsburgh strongly preferred

The Role

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.

What You'll Do

• 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

What You'll Bring

• 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 …