Business Intelligence Analyst (Supply Chain)
Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.
We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don’t settle for the mediocre. Each of us is driven to help improve patients’ lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.
Position: Business Intelligence Analyst (Supply Chain Optimization)
Alternative Name in the Market: Supply Chain Optimization Analyst (COE/OpEx)
Work Location: Vantive Trinity Woodlands Office
Flexibility: Intentionally Hybrid Working (3 Days in the office/2 Days WFH)
Report: Senior Manager, APAC Fulfillment Strategy & Solution, based in Singapore
Job Summary:
The Business Intelligence Analyst is responsible for designing, developing, and deploying advanced analytics and machine learning solutions that uncover hidden insights from large, complex datasets. This role will work closely with business stakeholders, project managers, and engineering teams to translate real-world business challenges into production-ready data science solutions. This role combines hands-on analytics development, applied research, and client advisory responsibilities, supporting organizations on their data science and AI journey.
Essential Duties and Responsibilities:
Translate customer pain points into clear analytical problem statements and solution architectures.
Design, build, and iterate end-to-end data science workflows, from data ingestion and preprocessing to modelling, and deployment.
Apply statistical analysis, machine learning, optimization, and simulation techniques to solve complex business problems.
Perform statistically sound model validation and clearly justify model selection and performance.
Build scalable, efficient machine learning models for deployment in production systems.
Operationalize analytics workflows using Python/R and distributed processing frameworks.
Leverage LLMs to build GenAI or Agentic AI solutions where appropriate.
Design and develop impactful dashboards and visualizations to communicate actionable insights.
Present results, learnings, and recommendations clearly to both technical and non-technical audiences.
Work closely with business and support function leads to provide regular status updates and refine analytics requirements.
Ensure data integrity, quality, and compliance with governance standards
Continuously evaluate model performance and refine algorithms
EHS & GMP Responsibilities (Individual Contributor)
Pro-actively contribute to zero harm workplace for all employees
Comply with legal and corporate EHS requirements, safe work practices and EHS policies and procedures at all times
Report all hazards, near misses and incidents as soon as practicable and participate in identifying actions to prevent harm from occurring to our people and/or our environment
Employees at every level are responsible for quality (GMP) and regulatory performance in the department to ensure quality program is met
Ensure compliance with government regulations, legal documents and safety and ethical standards, obtaining legal compliance.
Requirement:
At least 5+ years of data science, Computer Science, Statistics, or related field. (Mandatory)
Knowledge of international trade and logistics function (Mandatory)
Experience in healthcare industry (Preferred).
Solid foundation in statistics, data modeling, and machine learning concepts.
Strong ability to engage with stakeholders at all levels.
Experience of corporate business environments and stakeholder engagement.
Proven experience with process flows re-design, mapping and data-driven decision making.
Strong proficiency in Python, R, SQL, and data engineering
Proven experience working with high-volume, high-dimensional structured and unstructured data.
Hands-on experience with data visualization tools and libraries (e.g. Tableau, Qlikview, PowerBI, AWS)
Strong problem solving and resolution skillsStrong written and verbal communication skills.
Strong initiative and able to lead/work independently.
Strong analytical and presentation skills
Proficient in English Language
Benefits & Welfare:
Health Insurance
Flexible Benefits
Fixed & Variable Bonus
Etc.
Reasonable Accommodation
Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Form Link
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