Business Analyst IT - Private Banking

Job Responsibilities

• Review the forecast in Anaplan every month on your product category, together with the merchandising team.
• Follow up the business trends and run different analysis by product lines/by countries to help improve the forecast accuracy and anticipate trends as much as possible
• Prepare and lead the forecast meeting validation
• Build partnership with Merchandising during the buying session for each collection
• Coordinate with Central & Regional teams on the new product launch strategy
• Coordinate with Regional Distribution team to follow up on high-low products trends/ shortages.
• Identify opportunities of product growth in relation with Merchandising
• Implement & dispatch communication towards different departments
• Work on different projects for the team to improve efficiency and visibility
• Any other duties as assigned by your reporting manager.

Job Description:

• Contribute to Life Science projects for Antaes Asia clients
• Oversee the execution of manufacturing batches according to defined instructions, ensuring strict compliance with SOPs, training, and real-time monitoring of critical process steps for seamless operations.
• Collaborate on the development, review, and optimization of batch and cleaning recipes within DCS systems such as DeltaV and POMS, including manual and ad-hoc documentation.
• Lead or contribute to digitalization and continuous improvement initiatives aimed at enhancing process efficiency, reducing complexity, and supporting strategic site goals.
• Support troubleshooting efforts during process deviations or equipment issues by coordinating timely corrective actions with cross-functional teams.
• Provide training and guidance to chemical operators on operational best practices, equipment changes, OSW, and risk assessments.
• Participate in the commissioning, qualification, and validation phases of capital projects to ensure smooth integration into routine operations.
• Maintain compliance with environmental, health, and safety policies by participating in safety risk assessments and process hazard analysis as the operations representative.
• Ensure documentation accuracy by proactively resolving batch record discrepancies, contributing to investigations, and supporting timely CAPA implementation.
• Monitor shift deliverables, anticipate operational challenges, and ensure production timelines are met, highlighting potential delays to supervisors when necessary.
• Uphold plant readiness standards at all times, ensuring the facility remains audit-ready and operationally sound
• Contribute to the promotion of Antaes services on top of assistance provided to clients

Job Description:

• Contribute to Life Science projects for Antaes Asia clients
• Oversee API manufacturing and plant operations during the 12-hour shift, including supervising critical process steps, resolving technical issues, and ensuring smooth execution aligned with the production schedule.
• Manage non-conformances by facilitating communication within and across teams, providing investigation input, ensuring timely documentation correction, and preventing delays in batch release.
• Support operational excellence by conducting GEMBA walks, identifying improvement opportunities, driving process enhancements, and maintaining the plant in a constant state of audit readiness.
• Lead or contribute to Tier 2 meetings, cross-functional discussions, and safety assessments (e.g., PHA), while ensuring adherence to EHS standards and promoting a proactive safety culture through positive interventions.
• Assist the Manufacturing Manager/Lead in daily planning and area activities, and act as deputy during their absence. Represent the team in cross-functional matters as assigned.
• Prepare and revise SOPs, JSTM, and ensure documentation accuracy. Support execution to minimize human error and provide CAPA input as needed.
• Mentor, coach, and train chemical technicians, participate in recruitment, manage team performance, and cultivate a collaborative, values-driven work environment.
• Contribute to the promotion of Antaes services on top of assistance provided to clients

Job Description:

• Contribute to Life Science projects for Antaes Asia clients
• Develop preventive and predictive maintenance plans for process equipment and utilities.
• Define and implement asset management strategies to ensure equipment reliability and regulatory compliance.
• Structure and validate Bills of Materials (BOMs) for equipment and spare parts inventory.
• Work with cross-functional teams to input accurate equipment data into Computerized Maintenance Management Systems (CMMS).
• Support and lead Installation Qualification (IQ) and Performance Qualification (PQ) activities for new equipment and utilities.
• Ensure all commissioning documentation and protocols are complete and in alignment with GMP expectations.
• Take ownership of critical utilities, including HVAC, Water for Injection (WFI), Purified Water (PW), and Clean Steam systems.
• Monitor, trend, and maintain system parameters within specified ranges to meet regulatory and operational standards.
• Identify areas of improvement and drive reliability-centered maintenance (RCM) practices.
• Support audits and inspections by maintaining equipment documentation and ensuring systems are audit-ready.
• Work closely with process engineering, validation, QA, EHS, and manufacturing during plant startup and routine operations.
• Participate in design reviews, HAZOPs, FATs/SATs as needed for utility and equipment systems.

• Design the network architecture of equipment and ensure its interaction with clients infrastructures,
• Develop, commission and maintain HMI applications, reporting tools and data collection systems for assembly machines,
• Contribute to all phases of the project: design, development, commissioning, testing and documentation,
• Plan and monitor project progress in collaboration with your colleagues and the project manager,
• Provide technical support and make occasional visits to clients,
• Participate in R&D innovation projects, particularly in data analysis and machine learning,
• Travel to clients sites (10-20% of time).