DATA ANALYST, CENTRE OF EXCELLENCE

KPJ Healthcare Berhad; Kuala Lumpur; Sur place; MYR 90 000 - 130 000; Plein temps

Résumé du poste

KPJ Healthcare Berhad in Malaysia seeks a data analytics professional to advance clinical registries, dashboards and VBHC analytics across its hospital network. The role emphasizes data governance, pipelines, and reproducible analyses to support improvement and research.

You will work with multi-source health data, apply descriptive and inferential methods, and translate results into clear narratives for clinicians and executives, helping to drive value-based care and operational efficiency.

Qualifications

• Master’s degree in a relevant field such as data science or health informatics.
• Formal training in statistics, data analytics, data management, programming or equivalent.
• Doctoral qualification or advanced certifications in health data science or biostatistics is a plus.

Responsabilités

• Develop and maintain data dictionaries, metadata, and data-entry guidance.
• Design data-capture workflows and data extraction from clinical/operational systems.
• Monitor data quality, identify gaps, and support corrective actions with hospital teams.
• Create dashboards and reports for hospital networks and executives.
• Apply advanced analytics, risk adjustment, and storytelling of results.

Connaissances

SQL

Python

R

Power BI

Formation

Master’s degree in data science/health informatics/biostatistics

Outils

Power BI

Tableau

Qlik

Description du poste

A. Clinical registry development and management

• Develop and maintain registry data dictionaries, metadata, coding specifications, case definitions, validation rules, standard operating procedures, data-entry guidance and change-control records.
• Design data-capture workflows and support appropriate extraction, integration or collection processes from clinical, operational and research systems.
• Monitor registry participation, case ascertainment, completeness, timeliness, consistency, accuracy and follow-up status; identify root causes of gaps and support practical corrective actions with hospital teams.
• Prepare periodic registry reports that highlight outcomes, trends, case mix, variation, performance signals, data-quality issues and opportunities for clinical audit, research or service improvement.
• Support preparation of registry data for approved clinical audit, research, quality improvement, benchmarking, presentations and peer-reviewed publication.

B. Hospital-performance, operational-efficiency and VBHC analytics

• Analyse complex hospital and service-line data to identify factors affecting operational performance, efficiency, capacity, patient flow, outcomes and value.
• Develop analytical approaches to examine patient pathways and episode-of-care performance, including referral, admission, diagnostic, procedural, discharge and follow-up stages where data are available.
• Support hospital teams to identify unnecessary variation, bottlenecks, delays, avoid able utilisation, rework, complications, readmissions and other drivers of reduced efficiency or patient value.
• Develop relevant measures for value-based healthcare, balancing patient outcomes and experience with resource utilisation and cost information where available, valid and appropriately governed.
• Produce actionable analyses to support improvement in length of stay, theatre and procedure-room use, bed management, outpatient flow, emergency-department processes, diagnostic turnaround, discharge planning, service access and other locally agreed priorities.
• Apply appropriate stratification, risk adjustment, case-mix considerations and statistical methods when comparing hospitals, teams, patient populations or clinical pathways.
• Distinguish association from causation and communicate the limitations, assumptions, uncertainty and potential confounders of analyses clearly.
• Partner with quality-improvement and operational leaders to define baseline performance, monitor interventions and assess whether changes are associated with measurable improvement.

C. Advanced analytics, big data and AI-enabled methods

• Work competently with large, multi-source and potentially high-volume datasets, including structured and semi-structured health data, using efficient and reproducible approaches.
• Develop, test and maintain data pipelines for extraction, transformation, loading, linkage, de-identification or pseudonymisation, validation and analysis, in collaboration with authorised digital/IT and data-governance teams.
• Use SQL and appropriate programming tools to clean, join, transform, analyse and document complex datasets.
• Apply suitable analytical methods, including descriptive analytics, inferential statistics, regression modelling, survival analysis, time-series or trend analysis, clustering, segmentation, forecasting and other methods appropriate to approved use cases and data maturity.

E. Dashboards, reporting and data storytelling

• Design, build and maintain clear, accurate and user-centred dashboards, scorecards,visualisations and reporting packs for hospital, discipline, network and executiveaudiences.
• Translate complex analytical results into concise, decision-ready narratives that state thequestion, key findings, limitations, implications and recommended next actions.
• Produce routine and ad hoc reports in accordance with agreed reporting calendars, data-refresh schedules and stakeholder requirements.

Job Requirement:

Qualifications:

• A Master’s degree in a relevant field. Suitable disciplines include data science, health informatics, biostatistics, epidemiology, public health, healthcare analytics, computer science, mathematics, statistics, information systems, biomedical science, engineering or a closely related field.
• Demonstrable formal or applied training in statistics, data analytics, data management,programming, health informatics, research methods or equivalent technical domains.
• A doctoral qualification, advanced professional certification, postgraduate researchexperience or specialised training in health data science, machine learning, clinicalinformatics or biostatistics will be an advantage.

Experience:

• At least three years of relevant professional, research or postgraduate analytical experience involving complex datasets, preferably in healthcare, clinical research, health insurance, public health, life sciences or a comparable data-intensive environment.
• Demonstrated experience in data cleaning, transformation, analysis and visualisationusing large or multi-source datasets.
• Demonstrated experience writing and applying SQL queries and using at least onerecognised analytical programming language, preferably Python or R.
• Demonstrated experience using business-intelligence or dashboarding tools, preferablyMicrosoft Power BI, Tableau, Qlik or an equivalent platform.
• Demonstrated ability to apply statistical methods appropriately and interpret resultsaccurately for non-technical stakeholders.
• Experience with data-quality assurance, data documentation, reproducible analysis, datagovernance or secure handling of sensitive data.

KPJ Healthcare Berhad is the leading provider of private healthcare services in Malaysia, with a history dating back to 1981 when it introduced the first private specialist hospital in Johor. The Group's core values of Safety, Courtesy, Integrity, Professionalism, and Continuous Improvement drive its integrated network of more than 29 specialist hospitals across Malaysia. Additionally, KPJ has expanded its presence internationally, with hospitals in Indonesia, Bangkok, and Bangladesh, as well as investments in retirement and age-care resorts in Australia and Malaysia.

KPJ's competitive advantage stems from its extensive reach and accessibility throughout the nation, offering a wide range of medical specialist services, some of which are pioneering in the country's healthcare industry. The company also excels in utilizing integrated technology to enhance patient care, including the adoption of Cloud Computing and continuous improvements to the KPJ Clinical Information System (KCIS). Furthermore, KPJ is exploring digitalized medical technology applications in areas such as E-Pharmacy, wearable technology, robotics, Artificial Intelligence (AI), and the Internet of Things (IoT).

With over three and a half decades of experience in hospital development and management, KPJ is built on strong fundamentals, positioning it well for the evolving healthcare industry. The company's health tourism segment has experienced significant growth through aggressive marketing strategies, expanding its footprint in various regions.

In addition to hospital-based care, KPJ has made strides in healthcare-related industries, particularly in KPJ Senior Living Care services and Healthcare Education, recognizing their potential for the future due to increasing consumer demand. KPJ hospitals have received recognition from accreditation bodies, ensuring the quality and safety of their services.

The company is committed to giving back to the community and has established a network of Klinik Wakaf An-Nur (KWAN) charity clinics and a Hospital Waqaf An-Nur (HWAN) to provide care to the underprivileged. With 18 KWAN clinics and five mobile clinics, KPJ's efforts have positively impacted over one million patients since 1998.

Overall, KPJ Healthcare Berhad's extensive network, commitment to innovation, and dedication to quality healthcare services and community outreach make it a prominent and trusted player in the private healthcare industry.

KPJ Healthcare Berhad is the leading provider of private healthcare services in Malaysia, with a history dating back to 1981 when it introduced the first private specialist hospital in Johor. The Group's core values of Safety, Courtesy, Integrity, Professionalism, and Continuous Improvement drive its integrated network of more than 29 specialist hospitals across Malaysia. Additionally, KPJ has expanded its presence internationally, with hospitals in Indonesia, Bangkok, and Bangladesh, as well as investments in retirement and age-care resorts in Australia and Malaysia.

KPJ's competitive advantage stems from its extensive reach and accessibility throughout the nation, offering a wide range of medical specialist services, some of which are pioneering in the country's healthcare industry. The company also excels in utilizing integrated technology to enhance patient care, including the adoption of Cloud Computing and continuous improvements to the KPJ Clinical Information System (KCIS). Furthermore, KPJ is exploring digitalized medical technology applications in areas such as E-Pharmacy, wearable technology, robotics, Artificial Intelligence (AI), and the Internet of Things (IoT).

With over three and a half decades of experience in hospital development and management, KPJ is built on strong fundamentals, positioning it well for the evolving healthcare industry. The company's health tourism segment has experienced significant growth through aggressive marketing strategies, expanding its footprint in various regions.

In addition to hospital-based care, KPJ has made strides in healthcare-related industries, particularly in KPJ Senior Living Care services and Healthcare Education, recognizing their potential for the future due to increasing consumer demand. KPJ hospitals have received recognition from accreditation bodies, ensuring the quality and safety of their services.

The company is committed to giving back to the community and has established a network of Klinik Wakaf An-Nur (KWAN) charity clinics and a Hospital Waqaf An-Nur (HWAN) to provide care to the underprivileged. With 18 KWAN clinics and five mobile clinics, KPJ's efforts have positively impacted over one million patients since 1998.

Overall, KPJ Healthcare Berhad's extensive network, commitment to innovation, and dedication to quality healthcare services and community outreach make it a prominent and trusted player in the private healthcare industry.