Hvantage Technologies Inc USA
Senior Systems Analyst (Healthcare Data & Analytics) (Los Angeles)
Hvantage Technologies Inc USA, Los Angeles, California, United States, 90079
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
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