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Senior Systems Analyst (Healthcare Data & Analytics) (Los Angeles)
Senior Systems Analyst (Healthcare Data & Analytics) (Los Angeles)Hvantage Technologies Inc USA • Los Angeles, CA, US
Senior Systems Analyst (Healthcare Data & Analytics) (Los Angeles)

Senior Systems Analyst (Healthcare Data & Analytics) (Los Angeles)

Hvantage Technologies Inc USA • Los Angeles, CA, US
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Job Title : Senior Systems Analyst Healthcare Data & Analytics

Company : Hvantage Technologies Inc.

Location : Onshore (Remote Mode)

Experience Required : 810 Years

Employment Type : Full-Time / Contractual (Immediate Joiner Preferred)

About the Role :

Hvantage Technologies Inc. is seeking an experienced Senior Systems Analyst with a strong background in U.S. Healthcare IT , data warehousing , and SQL-based analytics . This position plays a pivotal role in our healthcare data initiatives ensuring that business and technical teams are fully aligned through comprehensive analysis, requirements gathering, data mapping, and solution validation.

This individual will act as the bridge between business stakeholders, data engineers, and development teams , ensuring end-to-end implementation of healthcare data systems, platforms, and integrations. The ideal candidate will possess both strong analytical thinking and a deep understanding of healthcare datasets, interoperability standards, and data models.

Key Responsibilities :

1. Business & Systems Analysis

  • Collaborate closely with business users, product owners, and data engineering teams to gather, analyze, and document complex business requirements.
  • Develop and maintain comprehensive system documentation , including business requirement documents (BRD), functional specifications (FSD), data flow diagrams, and process maps.
  • Translate business problems into technical specifications , ensuring accuracy and alignment with organizational objectives.
  • Conduct impact analysis and identify potential risks, dependencies, and integration touchpoints across systems.

2. Healthcare Data Expertise

  • Analyze, interpret, and validate healthcare datasets including Member, Provider, Claims, Encounter, Eligibility, and Clinical data.
  • Work with HL7, FHIR, EDI 837 / 835, and related interoperability standards to ensure compliance and data quality.
  • Engage in data profiling and mapping activities to support data migration, integration, and transformation projects.
  • Collaborate with architects and data engineers to ensure data lineage, traceability, and integrity throughout system processes.
  • 3. Data Warehousing & SQL

  • Work extensively with SQL and relational databases (such as SQL Server, Oracle, or Snowflake) for data querying, validation, and analysis .
  • Partner with data engineering teams to define data models, ETL requirements, and data pipelines .
  • Validate data between source and target systems using data reconciliation and mapping exercises .
  • Participate in data quality audits and help establish data governance standards.
  • 4. Requirement Definition & User Story Creation

  • Independently create detailed user stories and acceptance criteria aligned with Agile practices.
  • Conduct data mapping workshops to define source-to-target transformations and logic.
  • Ensure that each story has clear traceability from business needs to technical implementation.
  • Work with the QA team to define test data, validation rules, and user acceptance criteria.
  • 5. End-to-End Solution Thinking

  • Look beyond requirements documentation conceptualize end-to-end workflows, dependencies, and implementation steps .
  • Identify external data sources, APIs, and integration dependencies early in the lifecycle.
  • Provide recommendations for process optimization, data automation, and system scalability .
  • Review solution designs and provide feedback from a business logic and data consistency standpoint.
  • 6. Communication & Stakeholder Collaboration

  • Act as the liaison between cross-functional teams business, technical, QA, and operations to ensure requirements clarity and delivery success.
  • Present findings, data models, and solution proposals to senior stakeholders and client representatives .
  • Maintain transparency and alignment through regular status updates, requirement walkthroughs, and sign-off sessions .
  • Drive collaboration in a remote / onshore environment while maintaining excellent communication standards.
  • 7. Agile / Scrum Participation

  • Participate in Agile ceremonies such as backlog grooming, sprint planning, and sprint reviews.
  • Prioritize and refine stories to ensure development teams have actionable, ready-to-execute requirements.
  • Work closely with Product Owners and Scrum Masters to manage scope and release timelines.
  • Required Skills & Qualifications

    Domain Expertise

  • Strong understanding of U.S. Healthcare systems , including payer and provider workflows.
  • Deep familiarity with healthcare data domains : Claims, Members, Providers, Eligibility, Encounters, and Clinical data.
  • Experience working in environments using healthcare data standards and interoperability protocols like HL7, FHIR, and EDI.
  • Technical Skills

  • SQL (Structured Query Language) : Advanced proficiency in writing complex queries, joins, data validations, and stored procedures.
  • Data Warehousing : Expertise in data warehousing design, schema management, and ETL workflow validation.
  • Strong exposure to data modeling and mapping , including ER diagrams and relational model documentation.
  • Familiarity with ETL tools such as Informatica, Talend, or Azure Data Factory (ADF) is preferred.
  • Experience in data visualization or analytics tools (Power BI, Tableau, etc.) is a plus.
  • Understanding of Azure cloud services and healthcare data storage frameworks (FHIR Server, Azure SQL, Azure Data Lake) preferred.
  • Analytical & Problem-Solving Skills

  • Exceptional analytical ability to identify issues, analyze trends, and propose practical solutions.
  • Adept at diagnosing data discrepancies, root-cause analysis, and system performance issues.
  • Proven ability to think holistically about systems , integrations, and data dependencies.
  • Soft Skills

  • Excellent verbal and written communication skills able to articulate technical and functional details clearly.
  • Strong organizational and documentation discipline , with attention to detail.
  • Proactive, self-driven, and comfortable working in independent as well as collaborative remote environments .
  • Ability to handle multiple projects and tight deadlines without compromising quality.
  • Education & Certifications

  • Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
  • Preferred Certifications :
  • Certified Business Analysis Professional (CBAP) or PMI-PBA.
  • Certification in Healthcare IT or Data Analytics (optional but advantageous).
  • Microsoft / Azure Data Fundamentals or equivalent cloud certification is a plus.
  • Preferred Experience

  • Experience in payer organizations, health plans, or healthcare analytics firms .
  • Exposure to data warehouse modernization or cloud migration projects in healthcare.
  • Experience with Agile or hybrid Agile environments using tools like JIRA, Confluence, or Azure DevOps .
  • What We Offer

  • Opportunity to work on strategic healthcare data modernization and analytics initiatives .
  • Exposure to cutting-edge healthcare interoperability, FHIR, and cloud data engineering technologies.
  • Collaborative, learning-focused environment with opportunities for growth and leadership .
  • Competitive compensation with flexible, remote / onshore working model .
  • How to Apply

    If you are an experienced Systems Analyst with deep U.S. Healthcare domain expertise , advanced SQL / data warehousing skills , and the ability to drive end-to-end data solutions, we invite you to apply immediately.

    📧 Email : neelesh@hvantage.com

    📞 WhatsApp / Call : +91 97552 99999

    🌐 Website : www.hvantage.com

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