Job description
Data Analyst
Company Overview
The organization is a technology-driven provider of specialized solutions for Healthcare Revenue Cycle Management, empowering clients through advanced analytics and process automation. Focused on operational efficiency, financial improvement, and data-driven decision-making, this organization is a trusted partner to numerous healthcare chains. With manpower of 7000+, it is having global presence (4-5 international entities). With a strong emphasis on technology and data insights, it maintains a dynamic and supportive work culture, enabling its team members to grow and excel.
Job Summary
The Data Analyst will be responsible for data extraction, analysis, aggregation and reporting within the revenue cycle team. This role involves developing handling large datasets, custom SQL reports and automating process around ETL (Extract, Transform, Load) workflows. The ideal candidate will have strong analytical skills, proficiency in data handling, and the ability to optimize reporting processes to drive strategic decision-making
Key Responsibilities
- Data Management & Cleaning : Organizing, cleaning, and validating large datasets for accuracy.
- Data Extraction & Analysis: Gather and clean financial and operational data from various sources for analysis, Use SQL queries to generate reports and insights for internal teams and Perform data aggregation, validation, and trend analysis to support decision-making.
- Reporting & Revenue Cycle Support: Develop custom SQL reports to analyze revenue cycle performance, take ownership of monthly reporting processes, ensuring accuracy and efficiency.
- ETL Automation & Data Optimization: Automate processes for data extraction, transformation, and loading (ETL) to enhance efficiency, Implement best practices for data warehousing and business intelligence, ensure data security and compliance with industry standards.
- Client support & Technology integration: Gain exposure to proprietary healthcare tools and technologies for advanced analytics. Collaborate with cross-functional teams to improve data-driven strategies.
- Process Improvement & Strategic Analysis: Identify opportunities to enhance data workflows and streamline operational processes. Develop predictive models and performance benchmarks to optimize revenue cycle management. Provide recommendations based on financial trends, reimbursement models, and healthcare analytics.
Requirements / Qualifications
- Education: BCA, B.Sc., BE, BTech, Bachelors/Masters in Analytics, Data science, Computer Science, Finance, or a related field.
- Technical Proficiency:Proficiency in MS Excel, MS Outlook, and MS PowerPoint
- Expertise in SQL for querying, custom report generation, and database management.
- Strong proficiency in data extraction, cleansing, aggregation, and transformation (ETL) processes.
- Familiarity with data visualization platforms (e.g., Power BI, Tableau, Excel) for KPI tracking.
- Understanding of revenue cycle operations, financial forecasting, and healthcare compliance.
Key Expertise Areas
- Extracting, Data cleaning and preparation, analyzing, and visualizing financial and operational data.
- Writing custom SQL queries, managing databases, and optimizing data retrieval.
- Streamlining data workflows, automating extraction, transformation, and loading processes.
- Understanding hospital billing, claims processing, and payer analytics.
- Building interactive dashboards using MS-Excel.
SOFT SKILLS / TRAITS
- Strong analytical thinking and problem-solving abilities.
- Excellent communication and team collaboration skills.
- Ability to manage high-pressure deadlines while ensuring accuracy in reporting.
- Commitment to core values of Team, Integrity, Growth, and Innovation
Employment Type
Full Time, Permanent
