Mindoula Health is looking for a Healthcare Data Analyst with a passion for visualizing and digging into trends in healthcare claims and operational datasets. You’ll work on data that enables us to better serve members and deliver public health services more efficiently. In this role, you’ll have the agency to own problems from start to finish and work directly with the business stakeholders who act on your insights.

What You'll Do

Create and present clear and actionable data visualizations and reports to communicate findings and insights to stakeholders.
Extend our business intelligence functionality to maximize self-service and automate requests.
Design and execute complex SQL queries and scripts to extract, transform, and analyze data from various sources, ensuring data accuracy and integrity.
Perform exploratory data analysis to uncover trends, patterns, and insights that contribute to business and clinical objectives.
Provide expert-level data validation to ensure data quality and consistency, identifying anomalies and inconsistencies in data sets.
Collaborate closely with cross-functional teams to understand and define data requirements for ad-hoc queries and data validation requests.
Develop and maintain documentation for query and data validation processes, ensuring knowledge sharing and best practices across the team.

What We're Looking For

Bachelor's degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related quantitative discipline.
Proven experience of 3+ years as a Data Analyst in the healthcare space.
Proficiency in SQL and at least one business intelligence tool, with experience in relational databases like MySQL or PostgreSQL.
Proficiency in data visualization tools such as Tableau, Power BI, Looker, or SuperSet.
Familiarity with scripting languages like Python or R for data manipulation and analysis.
Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights.
Experience with data validation techniques and best practices to ensure data accuracy and integrity.
Excellent communication skills, with the ability to present findings and insights to both technical and non-technical stakeholders.
Detail-oriented mindset with the ability to manage multiple ad-hoc requests simultaneously.