Total 1,336 data entry job vacancies in Hong Kong

Role: Data Engineer - Databricks & Python

Relevant Experience Required: 4 Years 

Job Description: 

Data Transformation

• Query, clean, and transform datasets using SQL and Python on the Databricks platform.
• Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.

Analytics & Dashboard Development

• Build, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.
• Partner with business stakeholders to understand data requirements and translate them into impactful visual insights.

Documentation & Knowledge Management

• Develop clear and comprehensive user guides for dashboards, charts, and data workflows in Databricks
• Maintain technical documentation (e.g., on Confluence) for analytics processes, standards, and best practices.

Additional Opportunities

• Explore and prototype automation solutions to streamline repetitive or manual workflows.
• Develop project management competencies, including:
• Creating user stories and acceptance criteria
• Managing JIRA tickets and sprint tasks
• Writing and executing QA test cases

Competencies & Requirements

Required Skills

• Proficiency in SQL and Python for data processing and automation.
• Hands-on experience in dashboard tools such as Tableau, Power BI, or equivalent visualisation tools.
• Familiarity with Databricks or similar big data/analytics platforms.
• Ability to produce high-quality technical documentation.

Additional Skills Preferred

• Experience in system testing, SIT/UAT, or quality assurance processes.
• Knowledge of Spark for distributed data processing.
• Understanding of Git or other version control systems.

Soft Skills

• Strong analytical mindset and problem-solving abilities.
• Good communication skills, especially in explaining technical concepts to non-technical users.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Attention to detail and commitment to delivering high-quality work.

Working days: either 4 days 12 hours rotating shift or 5 days work week

Location: Islandwide , office at Woodlands

Salary: $2800 -$3500 depends on experience

Job scope:

• Semiconductor machines startup and installation

• Perform equipment on-site installation, diagnosing, troubleshooting, servicing, and repairing

• Perform equipment continuous improvement programmes, preventive maintenance, modifications and repairing works

• Serves as company contact point with customer on technical matters

• Attends to customers complaints and provides timely solutions

• Other ad hoc duties

Requirements:

• Nitec/ Diploma in Mechanical/ Mechatronic Engineering or related discipline

• Hands-on experience in semiconductor machine maintenance

• Able to work in cleanroom environment
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Role Description

The Customer Service Executive will be responsible for promotingcord blood banking services, handling client enquiries, and maintaining strongclient relationships. The role involves engaging with customers, providingaccurate service information, and ensuring a positive client experiencethroughout their journey.

You will also support lead follow-ups and client retention effortswhile working closely with the team to achieve service and business objectives.

Key Responsibilities

• Promote cord blood banking services to prospective and existingclients
• Handle client enquiries and provide professional service information
• Build and maintain strong, long-term client relationships
• Support lead follow-up and customer retention activities
• Assist with coordination of client communications and processes

Qualifications

• Min. Degree/Diploma in any discipline
• Strong communication and interpersonal skills
• Good negotiation and client engagement abilities
• Able to work independently and as part of a team

Interested candidates please send in your resume to:

clinicalresearch@recruitexpress.com.sg

Hayley Ho

OutsourcingTeam

Company Reg.No. 199601303W

EA Licence No. 99C4599

Looking for a Career with Growth, Learning, and People Interaction?

We are seeking driven individuals to join our recruitment team. This role offers the opportunity to develop consulting, business communication, and relationship management skills while helping companies hire top talent.

Your Responsibilities:

• Identify and engage suitable candidates for open positions
• Conduct phone screenings and candidate assessments
• Manage interview scheduling and candidate follow-ups
• Build professional relationships with clients and job seekers
• Assist in recruitment projects and hiring campaigns

Why Join Us?

• Structured training programme
• Mentorship from experienced consultants
• Clear promotion pathway
• Competitive salary with performance rewards
• Dynamic and collaborative work environment

We're Looking For:

• Strong communication skills
• Self-motivated and goal-oriented individuals
• Team players who enjoy working with people
• Candidates eager to learn and grow professionally

Interested candidates please send in your resume to:

clinicalresearch@recruitexpress.com.sg

Hayley Ho

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Our client is one of the leading players in the Medical Industry. Due to business needs, they are now recruiting a Chemist to be part of their team for ongoing transformation projects. They are located in the West (Tuas Area)

Responsibilities of Chemist:

• Lead and implement technical testing methods to ensure compliance with regulatory standards for medical device and pharmaceutical products, including those outlined in USP, for markets in the US, EU, and China.
• Supervise a team of chemists across R&D, Technology Transfer, and Projects, emphasizing experience in Product Development and the ability to deliver cost-effective, reliable technologies for sterile medical device production, ophthalmic solutions, and related products.
• Lead technology transfers and projects, ensuring smooth transitions from lab-scale research to R&D scale and eventually to plant scale.
• Develop and optimize testing methods for new materials and finished products to meet regulatory standards.
• Identify and select chemicals that enhance product shelf-life.
• Provide guidance to the QC team on good laboratory practices, equipment handling, and result interpretation.
• Spearhead the development of new chemicals and oversee their technology transfer.

Requirements:

• Minimum Degree in Chemistry or other relevant field of studies

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email: Jobs@recruitpedia.sg

EA License No: 19C9682
EA Personnel No: R2198636
EA Personnel Name: Oh Puey Xin

If you're thinking, "I don't just want a job—I want to grow, earn, experience something new every day, and discover my full potential," then this could be the opportunity you've been looking for.

We are seeking an experienced Senior Data Analyst to lead the build and operationalisation of a robust data management platform across the region. This is a hands-on role suited for someone passionate about designing scalable data infrastructure and delivering reliable, production-grade data pipelines.

Experience with Microsoft Fabric is advantageous, but not required—candidates with strong data engineering fundamentals and a willingness to learn new technologies are encouraged to apply.

Data Platform & Pipeline Engineering

• Design, build, and optimise end-to-end data pipelines to ingest, process, and transform data from diverse regional.
• Develop scalable and maintainable data ingestion frameworks and processing patterns
• Establish a robust, high-performing data architecture to support analytics and downstream use cases

Data Management, Quality & Governance

• Embed data quality checks, validation rules, and monitoring within data pipelines
• Implement and support data governance practices including data lineage, metadata management, and access control (e.g., via tools like Microsoft Purview)
• Define and enforce data ownership, stewardship, and governance standards across the region
• Ensure compliance with internal policies and regional data regulations
• Collaborate with global data teams to align on governance frameworks, KPIs, and best practices

• Develop and maintain curated data layers and semantic models to support reporting and analytics needs

• Partner with business stakeholders to translate requirements into scalable data models
• Ensure consistency and standardisation of KPIs and reporting outputs across the region
• Support migration or integration of existing reporting platforms where relevant

Requirements/skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong hands-on experience in building and managing data pipelines and data platforms
• Solid understanding of data modelling, data governance, and data quality best practices
• Exposure to cloud-based data platforms; familiarity with Microsoft Fabric or similar modern data platforms is a plus
• Proven ability to work in a fast-paced environment and adapt to new tools and technologies

EA License No. 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Salary: up to $2800
Working Days & Hours: Mon-Fri office hours

Location: Queenstown

Job Scope:

• Check the suction and diathermy machines for cleanliness and good working order

• Check operating lights for clarity and good functioning

• Clean, check and prepare operating table and accessories

• Prepare the operating room for each patient scheduled on the operating list

• Assist in the safe transfer of patient from trolley to operating table and vice versa

• Assist in positioning the patient

• Assist surgeon in application of tourniquet

• Adjust and focus the operating lights and assist nurses in patient care

• Perform daily inventory check on positioning aids and accessories

• Perform cleaning of the operating room in between cases within 15mins

• Clear soiled linen and surgical wastes to the disposal room after the next case had started or when necessary time allows

• Ensure that the disposable suction liner is capped tightly before discarding into the biohazard bag

• Maintain proper housekeeping of OT suite which include operating room, prep-room, scrub room, Anaes room and sluice room daily

• Do terminal cleaning at the end of the list or after infected cases as stated in the protocol

• To stay in the operating room to assist the surgical team when needed, eg. Change the suction liner,

additional adhoc equipment needed etc

Secondary Responsibilities (20%):

• Maintain proper housekeeping of pantry

• Transport patient from the ward to OT and vice versa

• Perform routine cleaning of OT equipment e.g. tourniquet, light source etc weekly

• Perform any other duties as assigned

Job Requirements:
Min Diploma in any course/HMI relevant course in healthcare support

If interested, please send updated resume via email  melissa@recruitexpress.com.sg 

Melissa Zhang Zhiqi (Mezzo)

(CEI.No: R2197564 | Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

melissa@recruitexpress.com.sg

Kickstart your marketing career with hands-on experience and structured training!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

• Support the planning and execution of marketing campaigns
• Engage with customers to promote brand awareness and campaign objectives
• Work closely with team members to ensure smooth campaign operations
• Contribute ideas during team discussions and campaign brainstorming sessions
• Monitor and provide feedback on campaign performance and customer responses
• Develop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

• No prior experience required; training will be provided
• Good communication and interpersonal skills
• Positive attitude with a proactive mindset and willingness to learn
• Able to work both independently and in a team

3️⃣ What We Offer

• Structured training and onboarding programme
• Mentorship and guidance from experienced team members
• Opportunities for skills development and career progression
• Exposure to different marketing campaigns and projects

4️⃣ Additional Information

• Position Type: Full-Time
• Location: Singapore

Only shortlisted candidates will be notified.

Job Description: Join the future of enterprise security! At ASIS Technologies, we don't just sell hardware; we design intelligent security ecosystems. We are looking for a motivated individual to join our Singapore HQ as a Solution Engineer.

Whether you are a fresh Engineering graduate or looking to switch into the high-growth Security & AI industry, we provide the blueprint and tools for your success.

Key Responsibilities:

• System Design: Learn to create professional project proposals, system diagrams, and Bill of Quantities (BOQ) for enterprise clients.

• Tech-AI Integration: Utilize advanced AI tools to streamline technical support and design compliance-ready security solutions.

• Customer Collaboration: Work closely with the sales team to address technical enquiries and provide top-tier support.

• Professional Growth: Undergo structured in-house training to become a subject matter expert in Access Control and CCTV systems.

Requirements:

• Education: Diploma or Degree in Engineering (Electrical, Electronics, Computer, or related fields).

• Experience: 0–2 years. We value aptitude over years of service. If you are meticulous and tech-savvy, we want you.

• Mindset: A strong desire to learn the intricacies of Enterprise Security Systems.

• Bonus: Prior experience in ELV/Security systems is a plus, but not mandatory.

Company: Eminence Organization

Employment Type: Full-time

Position: Entry Level | Immediate Start Available

Why You’ll Love It Here

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

If you’re motivated, eager to learn — we want to meet you.

This isn’t your typical 9–5. It’s an opportunity to grow from day one, gain real-world experience, and be part of a team that genuinely wants to see you win. No prior experience needed — just a positive mindset and learning attitude. Structured training will be provided from Day 1.

The Opportunity

We work with established brands to bring their campaigns to life through creative and strategic execution. You’ll take on meaningful work, learn practical skills, build confidence, and develop professional and personal skills with strong mentorship and team support.

What You’ll Be Doing

• Collaborate with the team to execute and support marketing campaigns
• Create meaningful customer engagement experiences
• Brainstorm campaign ideas and contribute to problem-solving
• Develop communication, confidence, and leadership skills

What’s in It for You

• Travel Exposure – Regional and international opportunities 
• 1-on-1 Mentorship - Personalised coaching and development support
• Clear Career Growth – Clear progression and advancement pathways
• Supportive Team Culture - A team that grows with you
• Flexible work arrangement 
• Performance-based incentives (details shared during interview)

Job Details

Position: Full-Time

Location: Singapore (Hybrid work arrangement; office-based activities required)

Schedule: Monday to Friday

Start Date: Immediate / Within 1–2 Weeks

No Experience? No Problem.

We hire based on attitude, not background. If you’re hungry to learn, open to growth, and be part of a high-energy team, we want to meet you. 

Shortlisted candidates will be contacted within 24 hours.

Our vision is to transform how the world uses information to enrich life for all.  
 
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 

As part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. 

You will collaborate with cross-functional teams across Product Engineering, Design Engineering, System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 

Key Responsibilities 

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.  

• Large-Scale Data Pipelines: Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, complex, and heterogeneous datasets from multiple manufacturing and engineering systems.  

• Advanced Data Analytics: Apply Python, SQL, and data science libraries (e.g., pandas, matplotlib) to perform deep analysis, generate visualizations, and deliver actionable engineering insights.  

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.  

• Machine Learning Production: Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.  

• Distributed Data Processing: Implement robust data processing techniques such as data cleansing, outlier detection, and missing-data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).  

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.  

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.  

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.  

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes. 

Minimum Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 

• Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries. 

• Strong programming proficiency in Python and SQL.  

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.  

• Familiarity with agentic AI frameworks such as LangGraph, Google ADK, AutoGen and evaluation tools like AgentEval. 

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.  

• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow. 

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production. 

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.  

• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, and missing-data treatment.  

• Strong analytical, problem-solving, and software development skills.  

• Strong communication skills with the ability to explain technical concepts and findings effectively.  

• Strong sense of ownership, accountability, and engineering rigor. 

Preferred Qualifications 

• Experience building agentic systems or AI solutions for semiconductor manufacturing, product engineering, validation, yield improvement, reliability, or failure analysis. 

• Deep understanding of semiconductor-specific AI/ML applications 

• Demonstrated understanding of deep learning architectures and computer vision.  

• Experience using enterprise data platforms such as BigQuery, Snowflake, MSSQL, Oracle, or Redshift. 

• Experience with Kubernetes or similar production infrastructure and deployment frameworks. 

• Experience with web application technologies such as JavaScript, HTML, and CSS.  

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness. 

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content. 

• Experience working in cross-functional environments spanning engineering, manufacturing, data science, and IT. 

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Responsibilities

About the team

PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across the TikTok's products and platforms. With the rapid development of AI technologies, the team also drives AI compliance governance work, integrating privacy-by-design and AI principles into the full lifecycle of AI products and services.

What you’ll do:

• Responsible for the risk identification, evaluation, governance, improvement and tracking of data protection, to address data protection pain points in business such as e-commerce, video creation, education, international payment, etc., and cooperate with the legal team to transform legal compliance requirements into solutions, deal with corresponding risks, and further precipitate into standard compliance programs and guidelines to improve business compliance efficiency.
• Responsible for the implementation of the company's privacy protection program and AI compliance frameworks.
• Promote the implementation of the company's privacy protection and AI compliance programs; drive the development of data security, privacy protection, and AI compliance automation tools.
• Participating in technical and compliance discussions with engineering and information security peers. Track and benchmark the latest international legal and regulatory requirements on AI, continuously promote the rectification of data, privacy, and AI compliance gaps.
• Establishing and promoting both process and technical systems of business privacy protection, and ensure the risk convergence and privacy protection technology landing in business scenarios.

Minimum Qualifications:

• Industry experience in driving change in technology companies, with a focus on privacy or AI compliance.
• Bachelor degree or above in information security, computer science, information system, law, AI, data science or related majors, or equivalent work experience.
• Privacy protection and AI compliance related experience, with solid background knowledge of enterprise security, AI technology, and compliance management.
• Privacy certifications from bodies such as the IAPP are preferred, including: CIPP/E, AIGP and etc.
• Familiar with domestic and international laws and regulations, such as cybersecurity law, GDPR, HIPAA, etc.

Preferred Qualifications:

• Proficiency in PIA/DPIA methodologies, with experience in presiding over or participating in privacy-by-design work for AI systems (e.g., generative AI, recommendation algorithms). •Participated in GDPR, CCPA, ISO27001, ISO27701 initiatives and AI compliance projects (e.g., AI system compliance assessment, algorithm transparency implementation).
• Deep understanding of EU AI Act, domestic Generative AI Management Measures, NIST AI Risk Management Framework, and other global AI laws and standards.
• Rich experience in AI compliance, including AI data governance, AI transparency implementation, or AI regulatory engagement.

Job Purpose

The Research Fellow / Research Engineer (with focus on Data Analytics and Digital Dashboards) will support applied research and innovation in community and allied health by turning clinical, operational and service data into practical analytics outputs, digital dashboards, KPI trackers and evidence reports. The role focuses on hands-on data analytics, project coordination and implementation support for community care projects.

This role is focused on Data Analytics and Digital Dashboards. The candidate should have good project-management discipline and experience coordinating projects or workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through timely and usable analytics outputs.

Key Responsibilities

Applied Research & Development

• Perform clinical needs assessment and workflow analysis for organisational innovation transition, focusing on but not limited to the community and aged care sector, including nursing homes, hospitals, home-based care, and palliative care settings.
• Develop healthcare solutions and innovation roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation.
• Develop and execute healthcare innovation projects by conducting experiments, data collection, and analysis for Proof of Concept (POC) and implementation for organisations in, but not limited to, the community care sector, and simulated environments within SIT and / or the Living Lab.

Industry Collaboration

• Support collaborations with industry partners to understand problem statements and contribute to solution development.
• Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned project workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, dashboards, project trackers, and documentation on the development, validation, deployment, and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned analytics, documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — Data Analytics and Digital Dashboards: clean, structure, analyse, visualise and report health/service data; develop dashboards, KPI trackers and management reports; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate data insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Nursing, Health Sciences, Biomedical Engineering, Clinical Research, or a related field or related disciplines with relevant experience in research, engineering, product development, or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., commercialisation, care automation, health economics).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving healthcare, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this Data Analytics and Digital Dashboards role, relevant experience in data analytics, dashboard development, business intelligence, data visualisation, health/service data management, KPI tracking, data cleaning, statistical or operational reporting, or equivalent analytics tools and methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of healthcare innovation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in data analytics and dashboards, including data cleaning, data structuring, analysis, visualisation, dashboard development, KPI tracking and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned analytics outputs and project outcomes toward the overall KPI commitments.