Senior Data Analyst - Manufacturing (AI)

Location: Singapore, Singapore

Company

hirify.global develops healthcare products and manufacturing solutions focused on improving health outcomes.

What you will do

• Define manufacturing problems, analytical questions, success measures, and data requirements with value stream owners, site teams, engineers, and frontline users.
• Analyse production, process, quality, downtime, cycle-time, labour, material-flow, and cost data to identify loss drivers, constraints, process drift, and improvement opportunities.
• Develop and maintain dashboards, reports, analytical models, metric definitions, data-quality checks, and decision-support tools for near-real-time manufacturing visibility, including OEE and loss diagnostics.
• Apply descriptive statistics, correlation, segmentation, root-cause analysis, statistical process control, and time-series analysis to produce practical recommendations.
• Work with data engineers, solution architects, OT/IT teams, and data scientists on pipelines, integrations, testing, deployment, training, and adoption.
• Support operational adoption, solution scaling across sites and value streams, stakeholder communication, delivery planning, and capability building through coaching and documentation.

Requirements

• Bachelor’s degree in Engineering, Manufacturing, Supply Chain Management, Computer Science, Data Science, Information Systems, Business, or a related field; an advanced degree is preferred.
• 6+ years developing complex, cross-functional analytics, automation, or AI-enabled solutions in manufacturing or supply chain environments.
• Strong understanding of manufacturing processes, value streams, and operational improvement opportunities.
• Technical depth to assess solution feasibility, data readiness, systems integration, scalability, and delivery risk while working with technical specialists.
• Experience with manufacturing data and technology environments such as ERP, MES, equipment or IoT data, historians, or similar operational technology platforms.
• Experience in cross-functional agile or project delivery teams and supporting solutions through requirements, testing, deployment, and adoption.

Nice to have

• Advanced degree in Engineering, Data Science, Analytics, Manufacturing, Supply Chain, or a related discipline.
• Experience with Industry 4.0, smart manufacturing, or large-scale manufacturing transformation.
• Exposure to predictive or prescriptive analytics and experience building AI, data science, or advanced analytics solutions.
• Experience with manufacturing excellence, Lean, Six Sigma, or similar continuous-improvement programmes.

Culture & Benefits

• Culture focused on excellence, diversity, inclusion, individual expression, and innovative ideas.
• Challenging, supportive, and inspiring workplace with opportunities to create and pursue new goals.

Hiring process

• Applicants are encouraged to apply; hirify.global commits to responding to every applicant.