Business Intelligence Engineer Co-Op (January - June 2025)

at  Cohere Health

COMPANY OVERVIEW:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare’s Fierce 15 and CB Insights’ Digital Health 150 lists.

YOUR BACKGROUND & REQUIREMENTS:

• Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible
• Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
• Familiarity with SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Exposure to BI tools (preferably Tableau) is a plus.
• Experience with programming languages (Python, R) is an advantage.
• Knowledge on AWS tools including Athena, Airflow and Sagemaker is an advantage
• Strong problem-solving skills, attention to detail, and the ability to work with large datasets.
• Prior experience in healthcare and life sciences is a plus, but is not required
• Currently pursuing a Bachelor’s or graduate degree in Statistics, Economics, Computer Science, Data Science Mathematics, or another quantitative or engineering field

• Data Modeling: Assist in designing and developing data models that support reporting and analytics needs. Work on building efficient, scalable data structures within the data warehouse to ensure seamless data retrieval and accurate insights.
• Data Analysis: Work with large datasets, querying databases to support business reporting needs and ad-hoc data analysis.
• Report and Dashboard Development: Create, maintain, and improve business reports, dashboards, and visualizations using BI tools like Tableau.
• Collaboration with Stakeholders: Collaborate with cross-functional teams (product, marketing, finance) to gather requirements, ensure data accuracy, and deliver business insights.
• Data Quality and Validation: Support data validation efforts to ensure accuracy, completeness, and consistency in the data used for analysis and reporting.
• Automation and Optimization: Identify opportunities for process automation and contribute to the improvement of data operations and reporting efficiency.