Manager, Operations Data Management

Job Description

• Extract, clean, transform and integrate data from multiple sources to ensure data quality, consistency and usability for analytics and reporting purposes.
• Conduct data analysis to identify trends, patterns and insights that support strategic and operational decision-making across AIC.
• Develop dashboards, reports and visualisations to communicate findings and support performance monitoring and operational planning.
• Work closely with stakeholders and operational teams to understand business requirements and translate them into analytical outputs and recommendations.
• Apply established analytical methodologies, standards and best practices to improve the quality, accuracy and efficiency of data analysis activities.
• Support data governance efforts by contributing to data quality management, metadata management and the responsible use of data assets.
• Collaborate with relevant teams to enhance data availability, reliability and accessibility for reporting and analytical purposes.
• Document analytical processes, assumptions and findings to support transparency, reproducibility and knowledge sharing.
  
  

Job Requirements

• Degree in Data Science, Business Analytics, Statistics, Computer Science, Information Systems or a related discipline. Experience in the healthcare sector will be advantageous.
• At least 8 years of relevant experience in data analytics, business intelligence, data science or related fields, including experience leading analytical projects or workstreams.
• Experience in data preparation, data wrangling, analysis, visualisation and reporting.
• Proficiency in data querying, analysis and visualisation tools such as SQL, Python, Power BI, Tableau or equivalent platforms.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into actionable insights.
• Knowledge of statistical analysis, machine learning or AI techniques will be advantageous.
• Strong written and verbal communication skills, with the ability to engage stakeholders and present analytical findings clearly.
• Proactive, detail-oriented and able to manage multiple priorities while delivering quality outputs within tight timelines.