United States onlyAre you interested in building the future of healthcare and transforming the patient experience? Are you hopeful about what data and medical research can do to improve medicine? We’re looking for a Data Analyst to ensure PatientIQ remains at the forefront of using data to drive positive healthcare outcomes.
As a core member of the Data Engineering department, you will be in a dynamic environment that works cross-functionally with all other departments, such as Engineering, Product, Customer Success, and Marketing. You will work on a broad array of problems that rely on data to derive insights for our business and customers. We heavily value diligence, curiosity, and initiative, which are key to unlocking the value of PatientIQ's data for our users and decision-making. Your work will be impactful across the entire organization.
About Us
PatientIQ is a fast-growing health tech company empowering healthcare providers, industry, researchers, and others to collaborate on the mission to improve patient outcomes. PatientIQ is headquartered in Chicago and backed by top-tier west coast venture capital, major hospital investors, and others.
What You’ll Work On
- Developing analytic solutions for internal teams and external customers on topics such as business development, patient engagement, patient-reported outcomes, and performance intelligence.
- Collecting, cleaning, and organizing large datasets from a variety of sources.
- Developing and implementing statistical models to uncover trends and patterns in the data.
- Communicating findings and insights to stakeholders through clear and compelling visualizations and reports using tools such as Metabase.
- Collaborating with cross-functional teams to identify opportunities for data-driven decision-making and innovation.
- Contributing to existing data pipelines through feedback or directly to ensure the accuracy and reliability of our data.
- Helping to identify and implement new data sources to support our analysis efforts.
- Assist the customer success teams with ad-hoc data and reporting requests from the customers.
Technologies We Use
- Python, SQL, dbt
- HubSpot, JIRA
- AWS Redshift, Fivetran
- Metabase, Apache Airflow, Excel / Google Sheets
Requirements
- Bachelor’s degree in mathematics, engineering, business, statistics, or a related field.
- Deep knowledge of SQL, dbt, and Python.
- Proficient in Business Intelligence (BI) and any visualization software.
- Experience with a CRM (e.g., HubSpot or Salesforce).
- Highly self-motivated with strong analytical problem-solving skills and attention to detail.
- Ability to handle multiple projects simultaneously.
- Ability to prioritize tasks, regularly communicate progress, and meet established deadlines.
Nice-to-Haves
- Knowledge of statistical analysis/machine learning, including data modeling, statistical testing, confidence intervals, and forecasting.
- Experience working with electronic health records and medical data in general.
- Experience working at a high-growth company.
- Experience working with other object-oriented languages, such as Ruby.
Benefits
- The Works - top-notch health, dental and vision insurance. Additional perks available including 401K.
- We are Mission Driven - our team is motivated to solve complex problems, drive medicine forward, and ultimately improve patient outcomes.
- True Idea Meritocracy - great ideas win out. We encourage all team members to challenge the status quo because our mission demands this.
- Flexible Time Off - we trust you to take the time you need when you feel it is appropriate, given your workload and responsibilities. No need to track it or save up.
- World-Class Team - we’re at the top of our industry because of our employees. They’re the best investment we can make, and we never forget that.
- Fast Growing - we are building the largest platform for healthcare providers, industry partners, researchers, and others to collaborate on the mission to improve patient outcomes.
