Job Details

Senior Data Analyst

Responsible for collecting and processing data to create engaging data visualizations and compelling statistical data insights

This position is not available for visa sponsorship

Key Responsibilities

• Develop and execute SQL queries to extract, transform, and analyze large datasets from multiple sources.
• Work within AWS environments to manage data pipelines and ensure secure, scalable data solutions.
• Interpret complex data sets to identify trends, anomalies, and opportunities for revenue cycle optimization.
• Collaborate with client stakeholders to understand business needs and translate them into actionable analytics solutions.
• Perform data validation and cleansing to ensure accuracy and reliability of reporting.
• Recommend and implement process improvements based on data-driven insights.
• Provide regular performance reports and consultative guidance to clients.
• Utilize Python for advanced data manipulation, automation, and statistical modeling

Qualifications

Required:

• Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Information Management, or related field.
• 3+ years of experience in data analytics, preferably in healthcare or revenue cycle management.
• Strong proficiency in SQL and relational database systems.
• Knowledge of ETL frameworks and data pipeline development
• Familiarity with AWS services (e.g., S3, Redshift, RDS) for data storage and processing.
• Ability to analyze large datasets and deliver actionable insights.
• Excellent communication skills for client-facing interactions.

Preferred:

• Experience in healthcare revenue cycle management, including clinical, financial, and operational data.
• Exposure to NoSQL databases and advanced BI tools.
• Proficiency in Python for data analysis and automation
• Hands on experience with Power BI for data visualization and reporting

Why Join Us?

• Opportunity to work with multiple healthcare clients and make a measurable impact on their revenue cycle performance.
• Collaborative environment with cutting-edge tools and technologies.
• Professional growth in data analytics and cloud-based solutions.