Data Analyst - Implementation

• We are seeking a detail-oriented and technically proficient Data Analyst – Implementations to join our growing healthcare technology team. This role is instrumental in integrating various healthcare datasets from external sources into our proprietary billing system to support and enhance Revenue Cycle Management (RCM) workflows. The ideal candidate will analyze incoming data samples, map them to our standard internal data specifications, and develop robust, maintainable data parsers using multiple programming languages. A strong understanding of the U.S. healthcare ecosystem, especially in revenue cycle processes, is highly desirable.

• Analyze and interpret healthcare datasets provided by external partners (e.g., hospitals, physician groups, third-party vendors).
• Compare incoming data formats against internal data specifications and identify transformation or normalization requirements.
• Design, develop, and maintain custom data parsers and transformation scripts using programming languages such as C#, Python, AWK, and C++.
• Collaborate with implementation teams, data engineers, and revenue cycle stakeholders to establish reliable, secure data feeds.
• Perform thorough data quality checks and validation to ensure integrity, completeness, and alignment with business rules.
• Create detailed documentation for parser logic, data mappings, and integration processes.
• Participate in meetings with external partners to understand data delivery formats, schedules, and expectations.
• Work on cross-functional projects to support data integration and transformation initiatives in line with RCM requirements.
• Contribute to continuous improvement by identifying opportunities for automation and process optimization.
• Troubleshoot and resolve data inconsistencies, parsing errors, and integration issues.

• Bachelor's degree in computer science, Information Systems, Data Science, or a related field.
• 3+ years of professional experience in a data analysis, data integration, or software development role.
• Experience working with healthcare datasets such as patient demographics, schedules, charges, medical records, claims, eligibility, etc.
• Familiarity with Revenue Cycle Management (RCM) systems, workflows, or applications is a strong plus.
• Experience in building custom parsers and data transformation tools across diverse systems and file formats (e.g., flat files, HL7, CSV, JSON, XML).

Technical Skills:

• Proficiency in either of the following programming languages C#, Python, AWK, or C++ for developing parsers and handling data transformation.
• Familiarity with scripting, regular expressions, and data formatting concepts.
• Working knowledge of SQL and relational databases.
• Comfortable working in Windows and Linux environments.

Domain Knowledge:

• Solid understanding of U.S. healthcare data standards and terminology (e.g., CPT, ICD-10, HL7, EDI 837/835).
• Familiarity with data flows within healthcare billing systems and RCM processes.

Analytical Skills:

• Strong data profiling and validation skills.
• Ability to identify patterns, inconsistencies, and transformation logic between external and internal data sets.

Soft Skills:

• Strong written and verbal communication skills.
• Ability to work independently and manage multiple projects simultaneously.
• Collaborative mindset and a proactive approach to problem-solving.