Senior Data Analyst

Summary

Join Mindoula as a Senior Data Analyst and leverage your passion for data visualization and analysis to drive impactful insights within the healthcare industry. You will work remotely, creating actionable data visualizations and reports for stakeholders, extending business intelligence functionality, and designing complex SQL queries. This role demands proficiency in AWS, SQL, data visualization tools, and scripting languages. You will collaborate with cross-functional teams, ensuring data quality and integrity while meeting regular external deadlines. The position requires a Bachelor's degree in a relevant field and 5+ years of experience as a Data Analyst with healthcare experience. This is a fully remote position within the United States.

Requirements

• Bachelor's in a relevant field such as Statistics, Mathematics, Computer Science, or a related quantitative discipline
• Proven experience (5+ years) as a Data Analyst
• Experience in field of healthcare required
• Proficiency in AWS and AWS Athena
• 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) 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

Benefits

This is a 100% remote position