Data Analyst

Summary

Join Mindoula as a Data Analyst and contribute to improving healthcare services through data-driven insights. You will create visualizations and reports, extend business intelligence capabilities, and perform complex data analysis using SQL and other tools. This 100% remote position requires strong analytical and communication skills, experience in healthcare data analysis, and proficiency in SQL and data visualization tools. You will work directly with stakeholders, ensuring timely delivery of actionable insights. The role demands expertise in data validation and a detail-oriented approach to manage multiple requests. This position is fully remote within the United States and does not offer employment sponsorship.

Requirements

• Bachelor's in a relevant field such as Statistics, Mathematics, Computer Science, or a related quantitative discipline
• Proven experience (3+ years) as a Data Analyst in the healthcare space
• Proficiency in SQL and at least one business intelligence tool experience with relational databases (e.g., MySQL, PostgreSQL)
• Proficiency in data visualization tools such as Tableau, Power BI, Looker, SuperSet, or a similar tool
• Familiarity with scripting languages (e.g., Python, R) for data manipulation and analysis is required
• 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 adhoc requests simultaneously

Responsibilities

• 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 adhoc queries and data validation requests
• Develop and maintain documentation for query and data validation processes, ensuring knowledge sharing and best practices across the team