Healthcare Business Analyst

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Dubai; On-site; AED 240,000 - 360,000; Full time

Job summary

RiDiK (a subsidiary of CLPS) in Dubai seeks a Healthcare Business Analyst with 6+ years of BA experience, including 3–4 years in healthcare data. You will map data models to HL7 FHIR, ICD-10, and SNOMED CT, while ensuring UAE privacy standards are met.

You will also coordinate with compliance and support UAT planning, leveraging SQL, BI tools, and Agile practices to deliver clinical analytics initiatives.

Qualifications

• 6–10 years of overall Business Analyst experience.
• 3–4 years specifically on healthcare data, EHR/HIS, claims, or clinical analytics.
• Experience writing user stories and managing backlog in Agile/Scrum.
• Hands-on data analysis skills with SQL; BI tools experience expected.
• Knowledge of UAE/GCC healthcare regulatory and health data exchange contexts.

Responsibilities

• Ensure healthcare data models reflect standards and interoperability conventions.
• Coordinate with compliance to align with UAE health data privacy requirements.
• Support UAT planning and execution with healthcare business users.

Skills

User stories backlog mgmt

Agile/Scrum

SQL

Power BI

Tableau

Python/R (basic)

JIRA

Azure DevOps

HL7 FHIR

ICD-10

SNOMED CT

LOINC

Data privacy/regulatory awareness

Education

Bachelor's degree in Health Informatics / Life Sciences / Information Systems

Master's degree (advantage)

Tools

Databricks

Dremio

Snowflake

Power BI

Tableau

Job description

Role: Healthcare Business Analyst Location: Dubai Exp: 6+yrs Notice Period: Immediate

Job Description

• Healthcare Domain & Compliance Alignment • Ensure requirements and data models reflect relevant healthcare data standards and interoperability conventions (e.g., HL7 FHIR, ICD-10, SNOMED CT where applicable) and align with UAE health information exchange context (e.g., Malaffi in Abu Dhabi, Riayati/NABIDH-equivalent structures in Dubai) where the source systems are in scope.
• Coordinate with the program's compliance workstream to ensure healthcare data handling aligns with DDA data classification guidelines and applicable UAE health data privacy requirements; this role documents and implements requirements — formal regulatory sign-off remains with the client's compliance/legal function and the program's Data Privacy Officer coordination point.
• Support UAT planning and execution with healthcare business users, ensuring test scenarios reflect real clinical/operational workflows.

Required Experience & Qualification

• Bachelor's degree in Health Informatics, Life Sciences, Information Systems, Business Administration, or related field; relevant Master's degree an advantage.
• 6–10 years of overall Business Analyst experience, with at least 3–4 years specifically on healthcare data, EHR/HIS, claims, or clinical analytics programs.
• Demonstrated experience writing user stories and managing a backlog in an Agile/Scrum environment (JIRA, Azure Dev Ops, or equivalent).
• Hands-on data analysis skills — SQL required; experience with BI/analytics tooling (e.g., Power BI, Tableau) and basic Python/R data analysis a strong plus.
• Working knowledge of healthcare data standards and terminologies (HL7 FHIR/HL7 v2, ICD-10, SNOMED CT, LOINC) — depth expected to vary by seniority, but foundational fluency is required.
• Familiarity with UAE/GCC healthcare regulatory and health information exchange landscape (DHA, DoH Abu Dhabi, Malaffi, national HIE initiatives) strongly preferred.
• Experience on large-scale data platform/data warehouse/lakehouse programs (exposure to Databricks, Dremio, Snowflake, or similar) is a plus, though the core of this role is business/data analysis rather than engineering.
• Certifications such as CBAP/CCBA (IIBA), Certified Scrum Product Owner (CSPO), or healthcare informatics certifications (e.g., CAHIMS) are preferred, not mandatory.
• English fluency mandatory; Arabic proficiency an advantage given stakeholder base.
• UAE market availability preferred; healthcare-sector clearance/background-check readiness may be required depending on client data sensitivity.

Success Metrics

• Quality and clarity of user stories (measured via reduced rework/clarification cycles with engineering)
• Requirements traceability from business need through to delivered feature
• Data quality issues identified and resolved pre-go-live
• Stakeholder satisfaction (clinical/business sponsor feedback)
• UAT pass rate and defect leakage into production