Entry Level Data Analyst jobs in Singapore
Head of Data Platform
TENTEN PARTNERS PTE. LTD
Data Engineer: Drive Enterprise Dashboard Migrations
Cognizant
Data Engineer 0953A/B
User Experience Researchers Pte.Ltd
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Upper Spring Consulting
Lead Data Scientist
TENTEN PARTNERS PTE. LTD
Connect with headhunters to apply for similar jobsLaboratory Assistant (Specimen Reception)
INNOQUEST DIAGNOSTICS PTE LTD
Reporting and Analytics Developer/Data Engineer 0951
User Experience Researchers Pte.Ltd
Senior Data Scientist - Risk & Fraud Analytics
P2P
Senior Data Scientist, Risk (Risk Strategy)
P2P
Service Engineer (Fire Alarm and Fire Sprinkler systems) - SS10
THE SUPREME HR ADVISORY PTE. LTD.
Data Engineer
ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.
Data Analyst – Operations & Manufacturing Analytics
STAFFKING PTE. LTD.
Supply Chain Data Analyst: Insight-Driven Transformation
Advanced Energy Industries, Inc.
Manager/ Senior Manager, Data Insight & Services (Data Business Analyst)
The Kallang Group Pte. Ltd.
Senior SQL & Data Product Analyst
TRINITY CONSULTING SERVICES PTE. LTD.
Ecommerce Data Analyst: Insights, Dashboards & Cloud
EXCELTECH COMPUTERS PTE. LTD.
FCC Cross-Platform Data Analyst (Policy & Referral Strategy) - Global Payment
TikTok
Pathology Informatics & Data Systems Analyst
ENVIRODYNAMICS SOLUTIONS PTE. LTD.
Treasury Data Operations Analyst
PERSOL SINGAPORE PTE. LTD.
Data Scientist
Job summary
A global technology and consulting firm is seeking a Data Scientist for Supply Chain in Singapore. Ideal candidates should have over 14 years of experience in Data & Analytics with a focus on life sciences. Responsibilities include analyzing large datasets, developing predictive models, and creating dashboards for monitoring supply chain performance. Proficiency in big data technologies, cloud platforms, and data visualization tools is essential. The role will require collaboration with cross-functional teams to innovate and implement analytics solutions compliant with regulatory standards.
Qualifications
- 14+ years of experience in Data & Analytics with life sciences focus.
- Hands-on experience with big data technologies and cloud-based analytics.
- Proficiency in data visualization and supply chain planning systems.
Responsibilities
- Analyze large datasets for improving demand forecasting and inventory optimization.
- Develop predictive models for supply chain processes.
- Create dashboards for real-time supply chain monitoring.
Skills
Tools
- Supply Chain Data Analysis and Interpretation, analyze large and complex datasets from ERP, MES, and LIMS systems to identify trends, patterns, and actionable insights for improving demand forecasting, inventory optimization, and cold chain logistics.
- Model Development for Supply Chain Optimization – develop and validate predictive models and algorithms for demand sensing, capacity planning, lot traceability, and risk mitigation across global pharmaceutical supply chains.
- Cross‑Functional Collaboration – work closely with manufacturing, quality, clinical supply, and distribution teams to understand operational challenges and deliver tailored analytics solutions that ensure compliance with GxP and regulatory standards.
- Data Management & Compliance – implement robust data governance practices to maintain data integrity and quality, ensuring adherence to FDA, EMA, and other regulatory requirements for life sciences operations.
- Reporting and Visualization – create intuitive dashboards and reports for real‑time supply chain monitoring, leveraging tools like Power BI, Tableau, or Spotfire to communicate insights to stakeholders.
- Innovation in Supply Chain Analytics – stay updated on the latest developments in AI/ML for supply chain, including digital twin modeling, predictive maintenance, and blockchain for serialization, applying innovative techniques to solve complex challenges.
- 14+ years of experience in Data & Analytics, with a strong focus on Life Sciences Supply Chain.
- Hands‑on experience with big data technologies (Hadoop, PySpark) and cloud‑based analytics platforms (AWS, Azure).
- Proficiency in Databricks, Python, R, and AWS/Azure services such as SageMaker, Glue, Lambda, Step Functions, and EMR.
- Deep understanding of pharmaceutical supply chain processes, including cold chain logistics, serialization, and clinical trial supply.
- Familiarity with data visualization tools (Tableau, Power BI) and supply chain planning systems (SAP IBP, Kinaxis).
- Knowledge of regulatory compliance (GxP, FDA, EMA) and experience working with structured and unstructured data from ERP and manufacturing systems.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.