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. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and Lawrenceville in Pittsburgh.

The Role

Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Senior Data Analyst to join our growing US-based Data Science & BI team. Your work will be instrumental in driving product strategy, directly influencing how healthcare professionals engage with patient data.

What You'll Do

Data Analysis and Insight Generation

• Extract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external data

• Ensure end-to-end visibility and understanding of our AI generation pipelines, from internal quality metrics to automated assessment in production.

• Investigate and correct issues identified through data operations monitors, tools, and reports.

Cross-Functional Leadership and Collaboration

• Effectively communicate trends and patterns to internal and external stakeholders, by developing and maintaining live dashboards

• Serve as a domain expert for the business context of our analytics data, sharing your understanding of the assumptions and limitations of our business metrics. 

• Continually enhance our understanding of the business and product, by identifying and filling gaps in our data sources. This includes working closely with multidisciplinary teams such as product, engineering, partner success, and the executive team.

Who You Are

• 8+ 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)

Data Advocate

• 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 amidst changing priorities in a fast moving environment

Domain-relevant Knowledge

• Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing are all a plus

• Experience with common approaches to measure and drive user engagement is a plus 

Base Salary: $153,000 USD - $189,000 USD per year + Equity

The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco Bay area. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.

Must be willing to work from our SF office at least 3x per week

This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for