Entry Level Data Analyst

About Selva Infosys LLC

Selva Infosys LLC specializes in the convergence of medical practice compliance and automated workflow optimization. The company partners with healthcare organizations to enhance their financial operations by providing a comprehensive framework covering the entire financial lifecycle. This approach minimizes operational obstacles and reduces turnaround times, enabling healthcare systems to maximize the value of patient care through streamlined processes and improved data-driven decision-making. The team works collaboratively with healthcare clients to deploy scalable, efficient, and compliant automation solutions.

Role Overview

This full-time, on-site Data Analyst position based in Manchester, NJ involves gathering, cleansing, and analyzing data related to healthcare and financial lifecycles. The role focuses on identifying key trends, variances, and opportunities to improve processes. Responsibilities include developing reports and dashboards, supporting data models for automation workflows, and delivering data-driven insights to stakeholders involved in medical practice compliance and operations. The position requires collaboration with cross-functional teams to convert business needs into analytical solutions, careful documentation of findings, and participation in implementing recommendations. The Data Analyst also supports maintaining data integrity and contributes to the ongoing enhancement of analytics tools and methodologies.

Candidate Qualifications

• Strong analytical capabilities with demonstrable experience in data analytics.
• Solid grounding in statistics and quantitative analysis techniques.
• Effective communication skills to explain complex data insights clearly to non-technical audiences.
• Experience with data modeling to assist reporting, automation, and forecasting efforts.
• Familiarity with data analysis tools such as Excel, SQL, and BI platforms like Power BI or Tableau is beneficial.
• Experience working with healthcare, revenue cycle, or compliance data is advantageous.
• A bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related discipline is preferred.
• Ability to work methodically, handle multiple tasks simultaneously, and maintain high standards of accuracy and confidentiality in data management.