Data Analyst
@ PatientIQ

Chicago, IL
$90,000
On Site
Full Time
Posted 22 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @patientiq.com
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Job Details

About PatientIQ

PatientIQ is a fast-growing healthcare technology company on a mission to improve patient outcomes through smarter, data-driven care. The company works with healthcare providers, life sciences organizations, and research institutions to transform clinical insights into action. As PatientIQ scales, they are investing in strong operational infrastructure to support predictable growth.

Role Overview

The Data Analyst role is central to using data insights to drive positive healthcare outcomes. You will work within the Data Engineering department and collaborate with cross-functional teams including Engineering, Product, Customer Success, and Marketing. This role requires diligence, curiosity, and initiative to unlock the value of data for both internal stakeholders and customers.

What You’ll Do

  • Develop analytic solutions for internal teams and external customers on business development, patient engagement, outcomes, and performance intelligence.
  • Collect, clean, and organize large datasets from multiple sources.
  • Develop and implement statistical models to uncover trends and patterns.
  • Communicate findings through visualizations using Metabase and reports.
  • Collaborate with teams to identify opportunities for data-driven decision-making.
  • Contribute to data pipeline improvements and ensure data reliability.
  • Assist customer success teams with ad-hoc data and reporting requests.

Technologies We Use

Python, SQL, dbt, HubSpot, JIRA, Snowflake, Fivetran, Metabase, Apache Airflow, Excel / Google Sheets.

Requirements

What You Bring: A Bachelor’s degree in mathematics, engineering, business, statistics, or a related field; deep knowledge of SQL, dbt, and Python; proficiency with BI and visualization software; CRM experience (HubSpot or Salesforce); strong analytical skills and attention to detail; ability to manage multiple projects, prioritize tasks, and meet deadlines.

Nice to Have: Experience with statistical analysis/machine learning, working with electronic health records, high-growth company experience, and familiarity with other programming languages such as Ruby.

Benefits

Great benefits including top-notch health, dental, and vision insurance, 401K, flexible time off, and opportunities to work with a world-class team in a fast-growing industry.

Key skills/competency

Data Analysis, SQL, Python, Statistical Modeling, Data Cleaning, Visualization, BI, Cross-Functional, CRM, Reporting

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How to Get Hired at PatientIQ

🎯 Tips for Getting Hired

  • Research PatientIQ's culture: Study their mission, values, and employee reviews online.
  • Customize your resume: Emphasize data analysis, SQL, and Python skills.
  • Showcase projects: Highlight relevant analytics and visualization work.
  • Prepare for technical interviews: Practice statistical modeling and data cleaning scenarios.
  • Follow application tips: Ensure clarity and brevity in your cover letter.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and optimization techniques.
Practice Python scripting for data cleaning.
Study dbt data transformation examples.
Familiarize with Metabase dashboard creation.

Behavioral Questions

Describe a time you solved complex data issues.
Explain prioritizing multiple project deadlines effectively.
Share collaboration experiences with cross-functional teams.
Discuss handling feedback on data insights.

Frequently Asked Questions