The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed and unlock information and insights that drive better health outcomes. 25 years later we have pioneered an industry and are just getting started. We are broadening our vision beyond diabetes to empower people to take control of health through personalized, actionable insights. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions, constantly reinventing unique biosensing‑technology experiences and improving global health.
Role Summary
The Business Systems Analyst (BSA) serves as a strategic bridge between business stakeholders and IT teams, driving the design and implementation of technology solutions that enable automation, digitalisation, and operational excellence. In a new manufacturing setup, this role is pivotal in transforming manual workflows, harmonising processes, and building a scalable, data‑driven manufacturing ecosystem.
Scope and Key Areas of Focus
- Business & Systems Analysis
- Gather, analyse, and document functional and technical requirements; translate business needs into system specifications and workflows.
- Conduct workflow mapping, gap analysis, and feasibility studies to identify inefficiencies and recommend system enhancements or new solutions.
- Collaborate with business unit and cross‑functional teams to understand processes, challenges, and improvement opportunities, ensuring successful implementation and integration.
- Support system testing, user acceptance testing (UAT), and training efforts.
- Maintain documentation including business requirements, process flows, and user guides.
- Monitor system performance and troubleshoot post‑implementation issues.
- Process Optimization & Digital Transformation
- Lead initiatives to automate manual workflows and digitise core manufacturing processes using Lean, Six Sigma, MES, and structured problem‑solving methodologies.
- Evaluate and implement emerging technologies (e.g. AI/ML, RPA) to enhance traceability, performance, and decision‑making.
- Design scalable digital frameworks that support real‑time visibility, operational agility, and data integrity.
- Define and monitor KPIs to measure process effectiveness, productivity, and quality. Conduct cost‑benefit analyses to support investment decisions and process changes.
- Deliver training and promote a culture of structured problem‑solving and continuous improvement.
- Manufacturing Ecosystem Development
- Build and harmonise end‑to‑end (E2E) manufacturing processes to support scalability, standardisation, and productivity.
- Ensure compliance with industry standards, regulatory requirements, and internal quality systems.
- Govern change orders (COs), deviations, and process updates to ensure smooth implementation with minimal disruption.
- Data Analytics & Decision Support
- Develop structured models and dashboards that convert data into actionable insights and measurable outcomes.
- Apply a data‑driven mindset to strengthen governance, control mechanisms, and strategic decision‑making.
- Leverage analytics platforms (e.g. Power BI, Tableau) and manufacturing systems (e.g. EBS, CAMSTAR, APEX) to monitor performance and uncover trends.
- Ensure data accuracy, consistency, and accessibility across systems to support predictive and real‑time decision‑making.
Qualifications
- Bachelor’s degree in manufacturing, Industrial Engineering, Supply Chain Management, Computer Science, IT, Engineering, or a related field.
- 3–7 years of experience in business systems analysis, process improvement, or manufacturing operations.
- Strong analytical and problem‑solving skills with a focus on process integrity, data accuracy, and operational efficiency.
- Proven ability to apply a process‑centric and data‑driven mindset in a manufacturing environment.
- Proficiency in manufacturing and data systems such as Oracle EBS, APEX, CAMSTAR, SQL, and analytics platforms (Power BI, Tableau).
- Experience with programming or scripting (e.g. Python, VBA) is a strong advantage.
- Demonstrated success in leveraging digital tools to drive automation, standardisation, and performance improvement.
- Comfortable working in a fast‑paced, collaborative environment with a continuous improvement mindset.