Data Analyst

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Mindoula

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

⚕️ Healthcare Insurance

🧘 Wellness

Description

• Mindoula is looking for a Data Analyst with a passion for visualizing and digging into trends in healthcare claims and operational datasets. • 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.

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.